bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Chemical Performance Uncertainty in Chemical EOR Simulations
Authors: Adepoju Olaoluwa O , Hussein Hoteit , Chawathe Adwait
Published: February 2017

Chemical floods such as surfactant and/or polymer floods are enhanced oil recovery techniques that have been proven at both laboratory and field scale to increase sweep and/or displacement efficiency. Even though the compatibility and the efficiency of the injected chemicals are thoroughly tested and validated in the laboratory, uncertainty still remains regarding their actual performance in the reservoir. These uncertainties can result from the differences in the scale of investigation (core scale to field scale), lack of understanding of reservoir heterogeneity and connectivity, and the long term chemical performance and the chemical slug integrity in the reservoir.

In order to properly design a chemical flood, the uncertainties related to chemical performance have to be considered along with subsurface uncertainties during formal analysis using Design of Experiments. In addition to traditional subsurface uncertainty analysis, this work focused on two methodologies to systematically incorporate in-situ chemical performance uncertainties. The first methodology varies chemical properties such as polymer rheology, adsorption, permeability reduction, inaccessible pore volume and non-Newtonian behavior individually during uncertainty analysis. The drawbacks of this approach are the computationally cumbersome parameter combinations and an increased possibility of testing unphysical combinations of chemical parameters.

The second methodology considers the overall chemical performance in the reservoir as an uncertainty parameter. In this case, the chemical properties are not varied individually but as a set to express the uncertainty range of chemical quality. The advantage of using chemical performance as an uncertainty parameter is that the possibility of testing unphysical combination of chemical properties is eliminated and there are less uncertainty parameters (thus increased computational efficiency). The drawback of this approach is that inadvertent bias can be introduced in the uncertainty analysis because of limited knowledge of the subsurface, and extreme end-points in the uncertainty space may remain untested.

The two approaches are compared in this paper and case studies were conducted. The results show how realistic low, mid and high performance models were generated that account for both subsurface and chemical uncertainties.
CO2 Water-Alternating-Gas Flooding Optimization of the Chigwell Viking I Pool in the Western Canadian Sedimentary Basin
Authors: Hewson C. W. , Leeuwenburgh O.
Published: February 2017

An ensemble-based production optimization technique is applied to a simulation model of OMERS Energy's Chigwell Viking ‘I’ Pool in order to determine optimal CO2-WAG cycle length, injection rates and production bottom hole pressures (BHPs). An ensemble-based approximate gradient calculation is used in an expected net present value (NPV) maximization. A single model was fist used to contrast the individual optimization of injection rates and the injection cycle lengths with the combined optimization of rates and WAG cycle lengths in order to determine the best parameters to consider for WAG optimization. By combining cycle length, injection rate and production BHP controls, a significant increase in the NPV is observed relative to using injection rate and production BHP control only. The model's non-uniform well placement and geological properties require full individual controllability of the wells to realize the optimal sweep. The controllability offered by combining cycle length, injection rates and production BHP as controls for individual wells is seen to lead to solutions where some wells are under gas-only injection and other wells are under water-only injection for some time. The obtained solutions in general require fewer switches between injection phases and therefore offer a reduction of the operational costs and risks.

The optimization workflow and control parameterization are also applied to an ensemble of model realizations obtained by generating samples of the uncertain model parameters. The improvements in expected NPV demonstrate the practical applicability of ensemble-based approaches for optimization under uncertainty to real field cases. If CO2 storage credits are added to the objective function, a different control strategy is found that also leads to an increase in NPV. This result highlights the potential for economic incentives to increase both CO2 storage and oil recovery. We also demonstrate that the availability of CO2 (or, similarly, its price) will influence the optimal strategy, and therefore that strategies that work in one CO2 availability/price scenario may not necessarily be optimal in another one. The techniques discussed in this paper, however, can be applied to determine the optimal strategy for each particular operational scenario.
Simulation of Dynamic Steam-Trap Control Technique - Formulation, Implementation, and Performance Analysis
Authors: Heidari M. , Nghiem Long X.
Published: February 2017

Steam-trap subcool is a technique that is used to maintain the energy efficiency of the Steam-Assisted Gravity Drainage (SAGD) process by most heavy oil producers in Canada. The concept is rather simple, i.e., create a resistance (liquid pool) around the production well to prevent steam from escaping the steam chamber into the production well. A numerical steam-trap based on thermodynamic approach was implemented by Edmunds (1998) and it has been used in simulations with Sink/Source or more advanced wellbore models in commercial codes. In this approach, a hard constraint is solved to guarantee that the bottom-hole temperature is below the water saturation temperature and that the location of the hottest spot along the wellbore is static. Steam-trap is a dynamic process and inflow temperatures can vary significantly along the wellbore according to the local fluid and rock properties along the well. It is highly possible that the location of hottest spot along the well will change frequently with time during SAGD operation.

In this study, simulation of a dynamic steam-trap control technique is provided. The location of hottest spot along the wellbore is scanned at every time step. Severe numerical instabilities are observed when the thermodynamic approach is used as a hard constraint. A new constraint based on the total production rate at reservoir condition is introduced. Details of mathematical formulation and the numerical behavior of the new method are discussed in this paper. Several real field models with different wellbore designs (multiple tubing strings) are simulated and the results of the new approach are compared with the thermodynamic approach. Simulation results show that the numerical performance of this new approach is significantly more stable. A time comparison also shows the new constraint outperforms the thermodynamic hard constraint.
Dynamic Load Balancing Using Hilbert Space-Filling Curves for Parallel Reservoir Simulations
Authors: Liu Hui , Wang Kun , Yang Bo , Yang Min , He Ruijian , Shen Lihua , Zhong He , Chen Zhangxin
Published: February 2017

New reservoir simulators designed for parallel computers enable us to overcome performance limitations of workstations and personal computers and to simulate large-scale reservoir models with billions of grid cells. With development of parallel reservoir simulators, more complex physics and detailed models can be studied. The key to design efficient parallel reservoir simulators is not to improve the performance of individual CPUs drastically but to utilize the aggregation of computing power of all requested nodes through high speed networks. An ideal scenario is that when the number of MPI processors is doubled, the running time of parallel reservoir simulators is reduced by half. In real simulation, numerical difficulties and performance problems appear when the number of MPI processors grows due to the deteriorating linear solver efficiency and increasing communication overhead, which are determined by a grid distribution.

The goal of load balancing (grid partitioning) is to minimize overall computations and to make sure that all MPI processors have a similar workload. Geometric methods divide a grid by using a location of cells while topological methods work with connectivity of cells, which is generally described as a graph. The geometric methods are much faster than the topological methods. This paper introduces a Hilbert space-filling curve method. A space-filling curve is a continuous curve and defines a map between a onedimensional space and a multi-dimensional space. A Hilbert space-filling curve is one special space-filling curve discovered by Hilbert and has many useful characteristics, such as good locality, which means that two objects that are close to each other in a multi-dimensional space are also close to each other in a one dimensional space. This property can model communications in grid-based parallel applications. The idea of the Hilbert space-filling curve method is to map a computational domain into a one-dimensional space, partition the one-dimensional space to certain intervals, and assign all cells in a same interval to a MPI processor. To implement a dynamic load balancing method, we need a mapping kernel that converts high-dimensional coordinates to a scalar value, and an efficient one-dimensional partitioning module that divides a one-dimensional space and makes sure that all intervals have a similar workload.

The Hilbert space-filling curve method is compared with other load balancing methods, such as the K-way method from ParMETIS and other geometric methods from Zoltan. The results show that our Hilbert space-filling curve is much faster than graph methods. It also has good partition quality. This method has been applied to reservoir models with billions of grid cells and linear scalability has been obtained on many parallel computing systems.
A Comprehensive Geochemical-Based Approach at Modeling and Interpreting Brine Dilution in Carbonate Reservoirs
Authors: Awolayo Adedapo N. , Sarma Hemanta K. , Nghiem Long X.
Published: February 2017

It has been amply proven through laboratory studies, affirmed by a few field trials, that dilution of brine injected has a potent impact on improving oil recovery in carbonate reservoirs. However, debate still exists as to the mechanisms responsible for such impact. The widely acknowledged underlying mechanism is the wettability alteration, achieved through a combination of lower ionic strength, multi-ion exchange, surface charge and mineral alteration. Therefore, the motive behind this study is to develop a model that can further support and interpret the brine dilution approach in the framework of carbonate reservoirs.

In this paper, we formulated a theory for the observed behavior that coupled equations of multi-component transport and geochemical reactions. The geochemical system considered a choice of significant ions and minerals, relevant to the published experiments. Mechanisms included in the model were dispersion/diffusion, instantaneous equilibrium reactions in terms of intra-aqueous and sorption reactions, and non-equilibrium rate controlled kinetic reactions-mineral alteration. The equivalent modification in wettability was represented by interpolating through a set of flow functions, particularly the relative permeability characteristics.

The model was employed to interpret recently published experimental data on carbonate core plugs (Austad et al. (2011); Yousef et al. (2011); Yi and Sarma (2012); Chandrasekhar and Mohanty (2013)) where systematic dilutions of injectate against the initial formation brine were analyzed. Considering known values of injection rate, thermodynamic equilibrium constants, and reaction rate constants, the model was able to capture the trend of the experimental oil recovery and effluent ion concentrations. Thus, the model could help interpret the observed behavior as a sequel to an interplay between surface charge and mineral alteration. The trend typically reflected a speedy transient period at early times, trailed by relaxed transient period and finally reaching a steady state solution.

The model was used to closely examine the dominant chemical mechanism responsible for improved oil mobilization relating to brine dilution during smart waterflooding. A thorough understanding of the mechanisms at play during any recovery process is crucial for its successful implementation as well as reliable production modeling, forecasting and optimization.
A Near-Wellbore Study with a Drucker-Prager Plasticity Model Coupled with a Parallel Compositional Reservoir Simulator
Authors: White Deandra , Ganis Benjamin , Liu Ruijie , Wheeler Mary F.
Published: February 2017

Permanent deformations in the solid matrix can be caused by many field scenarios, such as high injection rates. A pressure differential in the field can create geomechanical loading of large magnitude that may increase stress from an elastic regime to a plastic regime. Simple geomechanical models based on linear elasticity are insufficient in predicting these types of effects. To accurately predict rock formation damage and failure responses, nonlinear analyses based on geomaterial plasticity models should be included in modeling frameworks through rigorous coupling with reservoir flow simulators.

In this work we integrate an implementation of the Drucker-Prager plasticity model into the parallel compositional reservoir simulator, IPARS (Integrated Parallel Accurate Reservoir Simulator). Fluid flow is formulated on general distorted hexahedral grids using the multipoint flux mixed finite element method. The mechanics and flow systems are solved separately and coupled using a fixed-stress iterative coupling algorithm. This allows multiple flow models to be used with nonlinear mechanics without modification, and allows each type of physics to employ the best preconditioner for its linear systems. The fixed-stress iteration converges to the fully coupled solution on each time step.

With these components in place, we conduct a study on wellbore stability using different flow and geomaterial models. We demonstrate the capabilities of our integrated simulator in predicting near-wellbore plastic strain development and its effect on multiphase component concentrations. Our simulations run efficiently in parallel using MPI on high performance computing platforms up to hundreds or thousands of processors. The results of the simulations are useful in predicting wellbore failure.

Our integrated simulator has several distinctive features. The use of general hexahedral finite element grids is particularly well-suited to handle domain specific applications such as near-wellbore studies. The multipoint flux scheme is an accurate and convergent method, it is locally conservative, and its linear systems are efficiently solved with multigrid methods. The use of a fixed-stress iterative coupling scheme is novel for coupling nonlinear mechanics with compositional fluid flow. Finally, to achieve fast convergence rates for solving nonlinear solid mechanics problems, a material integrator has been consistently formulated to give quadratic convergence rates.
Probabilistic Uncertainty Quantification of a Complex Field Using Advanced Proxy Based Methods and GPU-Based Reservoir Simulation
Authors: Goodwin N. , Esler K. , Ghasemi M. , Mukundakrishnan K. , Wang H. , Gilman J. R. , Lee B.
Published: February 2017

Objectives/Scope

History matching large, complex fields has remained time consuming, and valid probabilistic uncertainty quantification has been a distant goal. Significant advances have been made recently in the development of improved sampling algorithms, efficient and accurate proxy models, and extremely high-performance forward simulation using GPUs and scalable algorithms. Combining these, we present a highly efficient workflow for robust probabilistic forecasts of a real field model with detailed reservoir characterization and over thirty years of production history.

Methods, Procedures, Process

The model used here describes a highly faulted offshore field produced from two platforms with 11 distinct sand sub-intervals and 22 major faults. Geostatistical methods were used to estimate each reservoir's static property distribution based on well logs. This static 3D model was upscaled and combined with reservoir engineering data and historical-interpretations to provide initial fluid distribution for use in flow simulation history matching and forecasts. Hamiltonian Markov Chain Monte Carlo techniques coupled with an efficient implementation of proxy models are used for uncertainty quantifications. A fast, highly efficient and scalable GPU-based reservoir simulator is employed for all forward simulations.

Results, Observations, Conclusions

The complexity of the geological properties of the reservoir requires a large number of cells to adequately describe the dynamics of production, and many adjustable parameters are needed to characterize the uncertainties in the model. While the use of advanced sampling and proxies vastly reduces the number of detailed flow simulations needed, hundreds of forward simulations are still required to calibrate the proxies and production forecasts. The bandwidth and computational throughput provided by GPUs allow such simulations to be performed extremely fast using only a modest amount of hardware. Through this case study, we show that by coupling an advanced history matching, prediction and optimization tool with a fast GPU reservoir simulator, accurate probabilistic uncertainty quantification can be made practical even for large models.

Novel/Additive Information

The workflow presented here can potentially transform the way probabilistic uncertainty quantifications are performed on large real field models. It will lay the foundation for the next generation of fast and accurate uncertainty tools and workflows.
A Fully Coupled Model for Hydraulic Fracture Growth During Multi-Well Fracturing Treatments: Enhancing Fracture Complexity
Authors: Li Sanbai , Zhang Dongxiao
Published: February 2017

Multi-well completion techniques, such as sequential fracturing, zipper fracturing and simultaneous fracturing, have been proposed to improve fracture complexity and connectivity. Critical geomechanics behind the multi-well-frac techniques include pore pressure propagation, cooling stress, tip-induced shear stress, and reversal of stress anisotropy. To optimize multi-well-frac treatments, we numerically investigated fracture growth from the perspective of thermo-hydro-mechanical coupling. The coupled geomechanics and fluid-heat flow model is based on a mixed finite element and finite volume method, which is capable of simulating multi-fracture growth in heterogeneous reservoirs. In this study, both hydraulic fracture propagation and natural fracture reactivation in opening or shearing patterns were taken into account. Particularly, an elasto-plastic fracture constitutive model was adopted to predict permanent enhancement of fracture aperture. The effects of perforation cluster spacing, well spacing, and the fracturing sequence of multi-well completion upon fracture-complexity were studied, where the total hydraulically fractured area was treated as the primary indicator of hydraulic fracturing effectiveness. By numerical parametric studies, we found that: (1) there is an optimal cluster spacing for maximizing the total fracture area for a stage with a given length. Cluster spacing mainly impacts stress distribution during hydraulic fracturing, which subsequently affects the path of newly created fracture propagation and crossing behaviors (i.e., crossing, arresting, or offsetting); (2) a suitable well spacing should be chosen carefully to avoid the hydraulic interconnection between the tip-to-tip stages, as well as to make use of tip-induced shear stresses; (3) the fracturing sequence for multi-well completion is of critical importance. Among three multi-well completion schemes, i.e., sequential, zipper, and simultaneous fracturing, the zipper fracturing technique achieves the best fracturing effectiveness for this case study; and (4) the effect of stress perturbation on natural fractures can be quite different, depending on the relative position to the created SRV. The coupled model significantly improves our understanding of multi-well-frac treatments and then provides us with a means to optimize the multi-well completion, enhancing fracture complexity to effectively improve productivity.
Hierarchical Coarsening of Simulation Model for In-Situ Upgrading Process
Authors: Fucinos Raul , Voskov Denis , Burnham Alan K
Published: February 2017

Oil shales are sedimentary rocks containing organic matter in form of kerogen which account for more than 5 trillion barrels of oil in place according to Birol (2010); therefore, oil shale production represents a plausible solution for the constant increasing demand for hydrocarbons. In this work, first we describe the model for chemical decomposition of kerogen. The prototype of the model is implemented in ADGPRS. The model is based on the most recent understanding of pyrolysis process and contains very precise descriptions of coupling chemical kinetics to heat and mass transport. Due to the high number of species, variations of porosity as consequence of the transformation of solid species into fluid products and complex multi-scale structure of porous media, the simulation performance of the high-fidelity model is limited. As the second step of this work, we introduce a hierarchy of coarser models to improve the run-time of forward solution without significant reduction in accuracy. We applied coarsening in time, space, and chemical representation, and quantify errors introduced at each coarsening level. In conclusion, we provided recommendations for large scale modeling of in-situ upgrading process.
Fully Implicit Mixed Hybrid Finite-Element Formulation for General-Purpose Compositional Reservoir Simulation
Authors: Abushaikha Ahmad S. , Voskov Denis V. , Tchelepi Hamdi A.
Published: February 2017

We present a fully implicit mixed hybrid finite-element (FE) formulation for general-purpose compositional reservoir simulation. The formulation is locally conservative, and the momentum and mass balance equations are solved simultaneously; including Lagrange multipliers on element interfaces. The method utilizes automatic differentiation for the Jacobian construction. This hybrid FE approach accommodates unstructured grids, and we present black-oil and compositional test cases with permeability tensors. We also discuss the accuracy and computational efficiency for the new formulation. For all tests, we compare the performance and accuracy of the proposed approach with the Multi-Point Flux Approximation (MPFA-O) method.
Low-Dimensional Tensor Representations for the Estimation of Petrophysical Reservoir Parameters
Authors: Insuasty E. , Van den Hof P. M. , Weiland S. , Jansen J. D.
Published: February 2017

In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. (2014); Afra and Gildin (2016), permeability fields of multiple model realizations are collected in a tensor form which is subsequently decomposed to derive a low-dimensional representation of the dominant spatial structures in the models. This representation then is used to estimate an identifiable reduced set of parameters using an ensemble Kalman filter (EnKF) strategy. This approach is attractive for the parameter estimation of permeabilities because it increases the ability to represent channelized structures in the updates resulting in an improved predictive capacity of the history-matched models. In particular, channel continuity is better preserved than with a Principal Component Analysis (PCA) parameterization.
An Integrated Case Study of the Frio CO2 Sequestration Pilot Test for Safe and Effective Carbon Storage Including Compositional Flow and Geomechanics
Authors: Jung Hojung , Singh Gurpreet , Nicolas Espinoza D. , Wheeler Mary F.
Published: February 2017

CO2 geological sequestration is one of the most efficient and direct ways to reduce the CO2 emissions to the atmosphere. Understanding reservoir capacity and geomechanical implications of CO2 injection are necessary for safe and effective storage. Large pore pressure increases from injection may induce fault reactivation and seal failure, and compromise storage integrity. Several studies examined the Frio brine pilot CO2 sequestration project conducted in Dayton, Texas. However, geomechanical implications were not fully evaluated at that time besides calculations required for a class V well permit. This article presents a comprehensive case study to evaluate pore pressure increase due to CO2 injection at the Frio injection site. The work includes new laboratory experiments and well-logging data analyses. The results are consistently assimilated into a numerical reservoir model which includes compositional flow. A fine-scale reservoir model of the Frio pilot test is developed in our in-house reservoir simulator IPARS (Integrated Parallel Accurate Reservoir Simulator). We perform history matching of the pressure transient data of Frio pilot test, and the history-matched reservoir model is used to predict the implications of larger CO2 injection volumes. Reservoir simulation results show that injection rates adopted during the actual pilot test very likely did not upset the mechanical integrity of the storage complex. Higher and sustained injection rates may increase pore pressure beyond limits for fault reactivation and hydraulic fracturing. A change of over a few-hundreds-psi could cause the sand to reach the shear yield stress. However, tested rock samples exhibit ductile deformation at in-situ effective stresses suggesting that reaching shear yield stress in neighboring faults may not jeopardize the sealing integrity of faults.
A General Purpose Reservoir Simulation Framework for Multiphase Multicomponent Reactive Fluids
Authors: Qiao Changhe , Khorsandi Saeid , Johns Russell T.
Published: February 2017

Reservoir simulation models describe the flow of various fluid models, such as black oil, compositional, reactive transport, and chemical flooding. Implementing new fluid models in reservoir simulators requires significant manpower to rewrite the simulation code, especially if the original simulator was not designed properly. One such example is to include geochemical reactive transport processes. In this paper, a general modeling framework is developed for easy implementation of new fluid models including time-independent (equilibrium) and time-dependent (kinetic) correlations. The approach is physically sound, robust and naturally extends black oil and compositional models to multiphase reactive systems for a variety of complex flow processes.

The fundamental physical laws (including conservation laws of mass/momentum/energy and thermodynamics laws) govern multiphase flow in porous media. Here we consistently applied the general principles under different assumptions to obtain the mass conservation equations for various processes. The framework includes a definition of components under the instantaneous phase and chemical equilibrium, mass conservation equations, a volume balance equation, and equilibrium relations. That is, primary equations for various fluids are represented by a unique set of mass conservation equations with different secondary algebraic constraints. The differential equations do not need to be changed as new processes are added. IMPEC and FIM are used to solve for flow. A robust algorithm is developed to calculate the phase equilibrium together with chemical equilibrium.

The simulator was validated with SPE comparative solution projects using Eclipse 300 and CMG-GEM. Large-scale reservoir models including SPE 10 and a field case from Europe were compared with various commercial simulators, showing that the simulator is significantly faster and more robust. New coupled reactive phase behavior models were implemented, including low salinity waterflooding, CO2 WAG with reactions, alkali/surfactant/polymer (ASP) flooding with the HLD-NAC EoS model, and fines migration. Those models have been implemented with minimal additional coding owing to the novel and consistent framework. The modeling framework provides a handy and powerful tool to understand the detailed interaction between species, easily update the physics as needed, and to better predict its impact on the ultimate oil recovery. This framework differs from previous research because the equilibrium chemical reactions are included without changing the structure of the compositional model. Similar to conventional compositional models, the flow, transport and local interactions are treated in two parts. This paper generalizes the simulation technology (named PennSim) that we have used in various applications. The novel formulation also enables fast linear solver performance due to the natural decoupling techniques.
A Discrete Imaging Formulation for History Matching Complex Geologic Facies
Authors: Khaninezhad Mohammad-Reza , Jafarpour Behnam
Published: February 2017

Estimation of geologic facies with complex connectivity patterns from limited direct and indirect measurements is facilitated by exploiting recent advances in discrete imaging methods. Classical model calibration techniques have difficulty in honoring solution discreteness and preserving facies connectivity. The existing methods for calibration of facies models either focus on preserving the facies connectivity and incorporate discreteness as a post-processing step, or they attempt to generate conditional samples from a discrete prior model (training image), which can be computationally demanding. In this work, we propose a novel framework for discrete geologic facies reconstruction from dynamic production data by combining connectivity-preserving parameterizations with discrete regularization techniques such as well-potentials that are inspired by recent advances in discrete tomography. For calibration of discrete geologic facies against flow data, we propose a method to promote solution discreteness and incorporate geologic connectivity information. To obtain discrete solutions we invoke well-potential regularization functions that penalize continuous solutions. The regularization penalty function is minimized along with the mismatch between model predictions and observed production data. To incorporate the geologic connectivity patterns, we learn plausible geologic patterns from available prior (training) models. This is done by learning parametric representations of facies connectivity such as the truncated singular value decomposition (TSVD) or learned sparse geologic dictionaries. We solve the resulting regularized minimization problem by implementing an efficient gradient-based algorithm known as the alternating direction method of multipliers (ADMM). Through several numerical experiments, we show that the proposed formulation offers a flexible facies model calibration approach that can be applied to problems with multiple facies types. An important aspect of this method is that it incorporates the discreteness of the underlying structure as a soft constraint in the inversion process, without a requirement for post-processing of the solution, which can potentially violate data match requirements. The implementation is amenable to iterative gradient-based algorithms and allows gradual, systematic, and plausible morphing of a given facies model to match the observed data. We present several case studies that illustrate the superiority of the proposed method to existing approaches in the literature for calibration of discrete facies distribution against production data.
Integritas Akademik dan Kecemasan Akademik dalam Menghadapi Ujian Nasional pada Siswa
Authors: Firmantyo Tyas , Alsa Asmadi
Published: February 2017

Abstract: The objective of this research is to examine the correlation between academic anxiety and academic integrity on facing the state examination among twelfth grade students. This research was conducted in SMAN Y, involving 114 twelfth grade Mathematic and Natural Science students. Data was collected using Academic Anxiety scale and Academic Integrity scale and was analyzed using Spearman correlation technique because of abnormality of data on academic integrity. Result supported the hypothesis that there was a negative correlation between academic anxiety and academic integrity on facing the state examination (rs = -0,457; p < 0,01). The determination coefficient of r2 = 0,209, show the effective contribution of academic anxiety to academic integrity was 20,9%.

Abstrak: Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan antara kecemasan akademik dan integritas akademik dalam menghadapi ujian nasional pada siswa kelas XII. Penelitian ini dilakukan di SMAN Y dengan melibatkan 114 siswa kelas XII jurus­an MIA atau Matematika dan Ilmu Alam. Pengumpulan data dalam penelitian ini dilakukan dengan skala penelitian atau kuisioner Kecemasan Akademik dan Integritas Akademik. Analisis data dilakukan dengan menggunakan teknik korelasi Spearman Rank karena sebaran data yang tidak normal pada salah satu variabel penelitian. Hasil penelitian ini sejalan dengan hipotesis penelitian, yaitu bahwa terdapat hubungan negatif antara ke­cemasan akademik dan integritas akademik dalam menghadapi ujian nasional pada siswa di SMAN Y (rs = -0,457, p < 0,01). Koefisien determinasi, r2 = 0,209 menunjukkan sumbangan efektif kecemasan akademik terhadap integritas akademik siswa dalam menghadapi ujian nasional sebesar 20,8%.

 
Clío América y su trayectoria en la investigación científica
Authors: García Vargas Oscar Humberto
Published: February 2017

La Revista Clío América, desde su creación, ha venido trabajando en los temas relacionados con las disciplinas de investigación de las áreas temáticas de la revista, tales como en Economía, Negocios y Empresas, así mismo ha publicado artículos que han tenido trascendencia en las distintas comunidades científicas, esto lo podemos ver reflejado en las diferentes bases de datos a la cual pertenecemos actualmente en especial a Econlit y Emerging Sources Citation Index. Creando de esta forma un entorno apropiado para la conexión de pares y autores internacionales que al publicar y arrojar resultados en nuestra revista la robustecen para lograr una mayor proyección a nivel internacional y un h como indicador visible de investigaciones destacadas y reconocidas por la comunidad científica
INDUSTRIALISASI DAN TANTANGANNYA PADA SEKTOR PENDIDIKAN
Authors: Unwanullah Arif
Published: February 2017

Abstrak: Industrialisasi dan Tantangannya pada Sektor Pendidikan. Sumbangan pendidikan dalam perubahan dan pembangunan masa lalu telah bergeser dengan kemajuan teknoekonomi dan komunikasi. Perubahan yang terjadi telah menggeser tatanan kehidupan dan pandangan masyarakat. Materialisme, kapitalisme, efisiensi, dan efektivitas telah menjadi tujuan dan semangat hidup. Pergeseran pandangan masyarakat telah mengubah pula pandangan keberhasilan dan mutu pendidikan, di mana pendidikan diukur dari keberhasilan dalam keterserapan lulusan dalam dunia kerja, oleh karenanya pendidikan dianalisis dari karakteristik sebagai investasi (capital-investment). Pergeseran makna dan tanggung jawab pendidikan mendorong dunia pendidikan melakukan pembaruan dengan alternatif: membangun pembaruan penalaran warganya menuju pemerdekaan dan pendewasaan, pendidikan dilaksanakan secara komprehensif dan bekerjasama dengan semua pihak secara kemitraan, dan membangun visi pendidikan secara komprehensif dan simultan dengan semua pihak.Kata kunci: perubahan sosial, materialistik, modernisasi dan kapitalisAbstract: Industrialization and its education Sector challenges. Contribution of education has shifted with the progress of technology, economy, and communication. The changes have shifted the society's views. Materialism, capitalism, efficiency, and effectiveness have become of interest and enthusiasm for life. The shift has changed society's view, i.e. the view of success and quality of education, in which education is measured from a rate of the absorption of graduates into labor market, therefore education is analyzed from the characteristics of an investment (capital-investment). A shift in meaning and responsibility of education encourages the education sector to create reformation through these following alternatives: creating new thoughts towards liberation and maturation, implementing education comprehensively and cooperating with all parties in partnership, and creating a vision of education comprehensively and simultaneously.Keywords: social change, materialistic, modernization and capitalist
DISPARITAS GENDER DALAM TINGKAT PENGEMBALIAN INVESTASI PENDIDIKAN DI JAWA BARAT
Authors: Megasari Diah Nurulia , Purnastuti Losina
Published: February 2017

Abstrak: Disparitas Gender dalam Tingkat Pengembalian Investasi Pendidikan di Jawa Barat. Investasi yang dilakukan seseorang akan membawa sejumlah manfaat yang kembali pada dirinya sendiri maupun pada lingkungan sekitar. Kembalinya manfaat pada individu yang melakukan investasi pendidikan sering disebut juga tingkat pengembalian investasi pendidikan. Penelitian ini bertujuan untuk mengetahui seberapa besar tingkat pengembalian investasi pendidikan antara tenaga kerja laki-laki dan perempuan di Jawa Barat Tahun 2014. Model yang digunakan adalah model persamaan pendapatan Mincer. Penelitian ini menggunakan data dari SAKERNAS dan diolah menggunakan teknik analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa tingkat pendidikan, potensi pengalaman kerja, potensi pengalaman kerja kuadrat dan jenis kelamin berpengaruh terhadap pendapatan. Semakin tinggi tingkat pendidikan maka tingkat pengembalian investasi pendidikan yang diterima pun semakin besar. Hasil chow test menunjukkan ada perbedaan tingkat pengembalian investasi pendidikan antara tenaga kerja laki-laki dan perempuan. Tenaga kerja perempuan menerima tingkat pengembalian investasi pendidikan lebih tinggi dibanding laki-laki, kecuali pada tingkat pendidikan Diploma. Kata kunci: Tingkat pengembalian investasi pendidikan, tenaga kerja, laki-laki, perempuan. Abstrak: Gender Disparity in Return to Education in West Java. The investment that one makes will yield a lot of benefits that will return to oneself or the surroundings. The return of the benefits to the individual who makes educational investment is called the return to education. This study aimed to find out the return to education between male and female workers in West Java in 2014. The model employed was the Mincer earnings model. The data in the study were the secondary data from SAKERNAS 2014 with 14,951 selected samples. The analysis technique was multiple regression analysis. The results of the study showed that the educational level, work experience potential, work experience potential squared, and gender affect earnings. The higher the educational level was, the higher return to education was. The results of the chow test showed that there was a difference in the return to education between male and female workers. The female workers had the higher return to education than the male workers, except for the diploma education level. Keywords: return to education, workers, males, females
PENGGUNAAN FACEBOOK OLEH INVESTOR
Authors: Sina Peter Garlans
Published: February 2017

Abstrak:  Penggunaan Facebook oleh Investor. Tujuan dari penelitian ini adalah memberikan bukti tambahan tentang dampak negatif dari penggunaan facebook sebagai jejaring sosial antara investor dalam membuat keputusan investasi serta bagaimana cara mereduksinya. Hasil menunjukkan bahwa penggunaan facebook mengarahkan pada pembentukan keyakinan yang keliru sehingga bertendensi membuat keputusan investasi yang bias. Pada bagian akhir penelitian ini, dijabarkan cara mereduksinya.  Kata-Kata Kunci: investasi, jaringan sosial, facebook Abstract:  Penggunaan Facebook oleh Investor. The purpose of this study is to give additional evidence of the negative impacts of the use of Facebook as a social networking between investors in making investment decisions and how to reduce it. The results showed that the use of Facebook leads to the formation of erroneous beliefs that tend to make bias investment decisions. At the end of the study, it was described how to reduce them. Keywords: investment, social network, facebook
PERBEDAAN PENGARUH MEDIA PEMBELAJARAN LAGU DAN SLIDE PADA PRAKTIK MENCUCI TANGAN DITINJAU DARI JENIS KELAMIN
Authors: Putri Hanifa Andisetyana
Published: February 2017

AbstrakPenelitian ini bertujuan untuk menganalisis perbedaan pengaruh media pembelajaran lagu dan slide terhadap praktik mencuci tangan ditinjau dari jenis kelamin. Jenis penelitian menggunakan quasi experimental design. Teknik sampling yang digunakan adalah purposive sampling dengan jumlah sampel 74 siswa TK Negeri Pembina Sragen. Instrumen yang digunakan adalah checklist mencuci tangan. Teknik analisis data menggunakan two way anova. Hasil: 1) Ada perbedaan pengaruh media pembelajaran lagu dan slide terhadap praktik mencuci tangan, dengan nilai p=0,005; 2) Ada perbedaan pengaruh kelamin laki-laki dan perempuan terhadap praktik mencuci tangan, dengan nilai p=0,000; 3) Tidak ada interaksi antara media pembelajaran terhadap praktik mencuci tangan ditinjau dari jenis kelamin, dengan nilai p=0,377. Kesimpulan: Tidak ada interaksi antara media pembelajaran lagu dan slide terhadap praktik mencuci tangan ditinjau dari jenis kelamin.Kata kunci: media lagu, slide, kelamin, praktik mencuci tanganAbsractThe study aims to analyse the differences used of songs and slides in practicing hand washing in terms of gender. The research used a quasi-experimental design. Sampling technique used in the study is purposive sampling with a sample of 74 kindergarten students Negeri Pembina Sragen. The instrument used a checklist of washing hands. Data were analyzed using two way ANOVA. The results are:1) There is a difference of using songs and slides in practicing of hand washing, with the value of p = 0.005; 2) There is a difference in male and female practice of hand washing, with a value of p = 0.000; 3) There is no difference between the use of song and slides in practicing of hand washing in male and female students, with a value of p = 0.377. There is no difference between the used of song and slides in practicing of hand washing in terms of gender.Keywords: media song, slides, gender, hand washing practices
MANAJEMEN TEAM TEACHING MATA PELAJARAN KEJURUAN DI SMKN 1 GOMBONG DAN SMKN 1 PURING
Authors: Retnoningsih Esti , Arifin Zainal
Published: February 2017

AbstrakPenelitian ini bertujuan untuk mengetahui; (1) informasi empirik pelaksanaan Team Teaching, dan implementasi manajemen Team Teaching, (2) proses evaluasi pelaksanaan Team Teaching yang ada di SMKN 1 Gombong dan SMKN 1 Puring. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian deskriptif kualitatif. Pengumpulan data dilakukan menggunakan wawancara, dokumentasi, dan observasi. Teknik analisis data yang digunakan adalah analisis data induktif. Hasil penelitian menunjukkan bahwa (1) program keahlian Teknik Kendaraan di SMK N 1 Gombong melaksanakan pembelajaran team teaching; sedangkan di SMKN 1 Puring penerapan pembelajaran team teaching belum sepenuhnya melaksanakan prinsip pembelajaran bertim, (2) implementasi manajemen team teaching di SMK N 1 Gombong sudah berjalan cukup baik; sementara itu implementasi manajemen team teaching di SMKN 1 Puring masih memerlukan beberapa perbaikan pada masing-masing unsur manajemen, (3) team teaching di SMKN 1 Gombong secara umum telah berjalan baik dengan terpenuhinya prinsip pembelajaran bertim dan prinsip manajemen; team teaching di SMKN 1 Puring secara umum membutuhkan perbaikan sehingga dapat memenuhi prinsip pembelajaran bertim dan manajemen yang baik.Kata kunci: team teaching, manajemen, program keahlian Teknik Kendaraan RinganAbstractThe objective of this research is to determine; (1) empiric information of team teaching implementation, and management team teaching implementation, (2) the evaluation process of team teaching implementation at SMKN 1 Gombong and SMKN 1 Puring. This research used qualitative approach. Data were collected by interview, documentation, and observation. Data analysis technique used inductive analysis data. The results of the research indicate that (1) Otomotif Department of SMKN 1 Gombong applied team teaching learning model; while team teaching in SMKN 1 Puring did not apply the full principles of team teaching learning model, (2) Management team teaching implementation in SMKN 1 Gombong was done effectively enough; besides management team teaching implementation in SMKN 1 Puring needs some improvements for each part of management process (3) Team teaching in SMKN 1 Gombong relatively fulfilled the principles of team teaching learning models and management process; while team teaching in SMKN 1 Puring needed some improvents to fullfill principles of team teaching model and management process.Keywords: team teaching, management, Otomotive Department
IMPLEMENTASI SISTEM MANAJEMEN MUTU (SMM) ISO 9001:2008 DI SMK MA’ARIF 1 WATES KULON PROGO
Authors: Maryadi Maryadi , Prasojo Lantip Diat
Published: February 2017

AbstrakTujuan penelitian adalah untuk mengetahui implementasi SMM ISO 9001:2008, hambatan dan penyelesaiannya dalam implementasi SMM ISO 9001:2008. Penelitian ini menggunakan desain campuran untuk mendeskripsikan implementasi SMM ISO 9001:2008. Penelitian dilakukan di SMK Ma’arif 1 Wates dengan subjek kepala sekolah, wakil kepala, QMR, guru, orang tua siswa, dan siswa. Objek penelitian adalah SMM ISO 9001:2008. Pengumpulan data menggunakan lembar pengamatan dokumen, kuesioner dan wawancara. Tingkat implementasi SMM ISO dinyatakan dalam bentuk persentase. Hasil penelitian ini menyimpulkan bahwa di SMK Ma’arif 1 Wates, implementasi SMM ISO 9001:2008 memperoleh nilai fokus pada pelanggan 83,95%, kepemimpinan 65,53%, partisipasi karyawan 76,67%, pendekatan proses 72%, pendekatan sistem 75%, perbaikan berkelanjutan 75,13%, pendekatan faktual 64%, hubungan pemasok 74,64%. Hambatan yang terjadi dalam implementasi SMM ISO 9001:2008 adalah pada pendekatan faktual dalam pengambilan keputusan kurang efektif. Penyelesaian hambatan tersebut adalah dengan melakukan penetapan data, penghimpunan data yang sesuai dan efektif, dan analisis data kefektifan sistem manajemen mutu.Kata kunci: implementasi, Sistem Manajemen Mutu (SMM) ISO 9001:2008AbstractThe purpose of this study is to determine the implementation of QMS ISO 9001: 2008, the constraints and the solutions in the implementation of QMS ISO 9001: 2008. This study used a mixed design to describe the implementation of QMS ISO 9001: 2008. The setting was SMK Ma’arif 1 Wates with the subject principals, deputy head, QMR, teachers, parents, and students. The objects of this study were QMS ISO 9001: 2008. The data was collected through the observation sheet documents, questionnaires and interviews. The ISO QMS implementation level was in a percentage. The results of this study show that in SMK Ma’arif 1 Wates, implementation of QMS ISO 9001: 2008 obtained a value of customer focus 83.95%, leadership 65.53%, employee participation 76.67%, process approach 72%, system approach 75 %, continual improvement75.13%, factual approach 64%, and supplier relationships 74.64%. The constraint that occurs in the implementation of QMS ISO 9001: 2008 is in the management principle of factual approach to decision making, and the solution is the determination of the data, appropriate and effective data collection, and the analysis of the effectiveness of the quality management system.Keywords: implementation, Quality Management System (QMS) ISO 9001: 2008