bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teacher Training Programs for Gifted Education with Focus on Sustainability
Authors: Reid Eva , Horváthová Božena 
Published: January 2017

Abstract
Scholars, psychologists, and teachers from around the world have been dealing with the topic of giftedness for many years. Also in Slovakia, development of giftedness is a highly topical issue and gifted education has earned its place in the current curricular documents issued by the Ministry of Education. The national curriculum specifies education objectives, teaching plans, requirements for personnel, organizational and material-technological requirements for gifted education. However, the personnel requirements are problematic not only in Slovakia, but also in other countries. Most attention is paid to identification and development of gifted children, but very little consideration is given to the training of teachers for gifted children. The lack of justifying teacher training does not guarantee sustainability of gifted education. The aim of this paper is to map and describe gifted education, teacher training programs and qualifications for teachers of intellectually gifted pupils in Slovakia, Austria, Belgium and Finland. These countries were chosen because of very different perceptions of the gifted education and teacher training. These systems are compared and a proposal for sustainable teacher training is offered.
Sediment transport modelling in wadi Chemora during flood flow events
Authors: Berghout Ali , Meddi Mohamed 
Published: January 2017

AbstractThe sediment transport is a complex phenomenon by its intermittent nature, randomness and by its spatiotemporal discontinuity. By reason of its scale, it constitutes a major constraint for development; it decreases storage capacity of dams and degrades state of ancillary structures.The study consists in modelling the transport of sediments by HEC-RAS software in wadi Chemora (Batna, Algeria). In order to do this, we have used hydrometric data (liquid flows, and solid flows) recorded at level of the four hydrometric stations existing in watershed of wadi Chemora, the MNT of the wadi and lithologic characteristics of the wadi.In the analyses of results we used the parameters from two different floods (the first one involved the whole watershed and the second – a part of the basin) along of system of wadi Chemora (wadi Chemora and its tributaries): sediment transport capacity, volume of sediments delivered to and leaving the system and areas sensitive to erosion and sedimentation.
Efficiency of some meteorological drought indices in different time scales, case study: wadi Louza basin (NW-Algeria)
Authors: Djellouli Fayçal , Bouanani Abderrazak , Baba-Hamed Kamila 
Published: January 2017

AbstractDrought is an insidious hazard of nature in many parts of the world. It originates from persistent shortage of precipitation over a specific region for a specific period of time and has a conceptual and operational definition. Drought impact on some activity, group, or environmental sector depends on the extent of water shortage and ground conditions. Algeria and especially the western region has experienced several periods of drought over the last century, since 1975 to the present day. The most recent drought in 1981, 1989, 1990, 1992, 1994 and 1999 was characterized by its intensity and spatial extent. Drought is identified using various drought indices (meteorological, hydrological and agricultural). In this research, we focus on the meteorological drought, to assess the reliability of these indices under changing climatic conditions. Data was recorded for the period of 1980–2009 at wadi Louza catchment (NW-Algeria). For describing and monitoring drought severity periods, we calculated the correlation between both meteorological drought indices: Standardised Precipitation Index (SPI) and Effective Drought Index (EDI). The results show that the watershed of wadi Louza has experienced a severe meteorological drought. The correlation between meteorological drought indices was good for all time steps and the best was found for 9-month time step. The obtained results may provide some scientific support for fighting against droughts.
Drought intensity and spatial variability in Gabes Watershed, south-eastern Tunisia
Authors: Jemai Sabrine , Ellouze Manel , Agoubi Belgacem , Abida Habib 
Published: January 2017

AbstractChronological series of monthly and annual precipitation data recorded in Gabes Watershed, south-eastern Tunisia, were analyzed. The study is based on the standardized precipitation index (SPI) values, computed for 10 rainfall stations over the period 1987–2012, which corresponds to an observatory period of 25 hydrologic years (from September to August). The results obtained show a great variability in SPI values. The historical evolution of the SPI made it possible to define the periods of excess and deficit, corresponding to wet and dry periods respectively. The wet years were found to be 1989–1990, 1995–1996 and 2006–2007 while the dry years were 1987–1988, 1996–1997, 2000–2001, 2001–2002, 2007–2008, 2008–2009 and 2009–2010. This clearly shows alternating wet and dry periods, but with drought episodes taking prevalence over rainy fronts throughout the study period. Indeed, a high tendency towards a drop in precipitation and important sequences of drought were observed. Spatial variability of drought throughout Gabes Watershed was examined by geostatistical analysis of SPI, as drought and rainfall distribution vary with latitude, longitude, topography and proximity to the Mediterranean Sea. The results obtained showed that, compared to coastal and southern areas, drought was observed to be more important in the West and the North of Gabes Watershed. The SPI showed that moderate droughts are generally more frequent than severe or extreme droughts in most of the Watershed.
Hydrological modelling of wadi Ressoul watershed, Algeria, by HEC-HMS model
Authors: Skhakhfa Imene Diabi , Ouerdachi Lahbaci 
Published: January 2017

AbstractThis study presents a flood estimation model for wadi Ressoul in El Berda watershed, north east of Algeria. To ensure the overall consistency of simulated results, it is necessary to develop a validation process, particularly in regions where data are scarce or limited and unreliable. To this we must calibrate and validate the model over the hydrograph as measured at the output. Calibration and validation processes were carried out using different sets of data (CN, SCS Lag and Muskingum K). Evaluation on the performance of the developed flood model derived using HEC-HMS (hydrologic modelling system) yield a correlation coefficient R2 close to 1 and the Nash–Sutcliffe efficiency. We limit ourselves to modelling flood of short duration for which the process of evapotranspiration is negligible. Several events have been tested, including two to calibrate and one to validate the model. So it can be said that using the HEC-HMS model had the highest efficiency in with the values of these parameters calibrated, based on objective functions (percent error in peaks), with 8.8 percent difference between of observed and simulated discharges with R2 value is 0.87 and the Nash-Sutcliffe efficiency value is 0.99.
Causal Relationship between Supply Chain Dynamic Capabilities, Technological Innovation, and Operational Performance
Authors: Ju Ki-Jung , Park Byeonghwa , Kim Taikyoo 
Published: January 2017

AbstractThe aim of this study is to empirically examine the impact of supply chain dynamic capabilities on operational performance, and the mediating effect of technological innovation between dynamic capabilities and operational performance. This study is based on empirical data collected from a survey of 206 small- and medium-size firms in Korea. Structural equation modeling is used to test the research questions. The results show that supply chain dynamic capabilities positively influence technological innovation and operational performance of an enterprise. Additionally, structural equation analyses reveal that technological innovation plays a role as a partial mediator of the relationship between supply chain dynamic capabilities and operational performance. In a dynamic and ever-changing environment, the enforcement of dynamic capabilities in a sustainable supply chain is important for the innovation of technology and the improvement of operational performance. Further investigation is required to understand the differences by industries, characteristics of enterprises, and positions in a supply chain.
Unas reflexiones sobre la interdisciplinariedad de la comunicación
Authors: Maicas Manuel Parés I 
Published: January 2017

Estoy convencido de que el marco teórico - con sus consiguientes repercusiones práticas - en el que la comunicación tiene su esfera de actuación es crecientemente mucho más y que desborda ampliamente de la que llamamos comunicación social o de masas...
Improving Hydraulic Fracture Design; a Key to Achieving a Higher Level of Multi-Fractured Horizontal Well Performance
Authors: Shelley Robert , Shah Koras , Davidson Brian , Sheludko Stan , Nejad Amir 
Published: January 2017

Abstract
Drilling horizontally and hydraulic fracturing is proving to be the well type of choice for low and ultra- low permeability shale. However, due to the extreme complexities encountered, determining the specifics of a completion and hydraulic fracture design that will result in the highest economic return on investment is problematic. The subject of this paper are results from detailed evaluations performed by experienced engineers with reservoir knowledge for the purpose of evaluating completion effectiveness and improving economics for shale and other low permeability formations.
Detailed engineering evaluations were performed to estimate reservoir and frac characteristics for a multi-well Utica pad. These evaluations consisted of (1) performing production history matching on all production phases with a numeric reservoir simulator, (2) estimating conditions within the fracture over time as the wells are produced and (3) calibration of a 3-D frac model by frac pressure matching. The methods used to perform these evaluations are not new, however they currently are underutilized by the industry today
The evaluations performed indicate that completion, frac design, operational and production issues can all significantly influence multi-fractured horizontal well production and economics. In addition the findings show that in many cases the hydraulic fractures are not very effective1-9. This ineffectiveness is due to the stranding of large portions of the propped fracture area which consequently do not contribute to well performance. This condition results in loss of productivity, recovery and return on investment. Experience shows that improvements to the frac treatment design can mitigate some of this inefficiency and improve the economics of multi-fractured horizontal completions.
Shale Analytics: Making Production and Operational Decisions Based on Facts: A Case Study in Marcellus Shale
Authors: Mohaghegh S. D. , Gaskari R. , Maysami M. 
Published: January 2017

Abstract
Managers, geologists, reservoir and completion engineers are faced with important challenges and questions when it comes to producing from and operating shale assets. Some of the important questions that need to be answered are: What should be the distance between wells (well spacing)? How many clusters need to be included in each stage? What is the optimum stage length? At what point we need to stop adding stages in our wells (what is the point of diminishing returns)? At what rate and at what pressure do we need to pump the fluid and the proppant? What is the best proppant concentration? Should our completion strategy be modified when the quality of the shale (reservoir characteristics) and the producing hydrocarbon (dry gas, vs. condensate rich, vs. oil) changes in different parts of the field? What is the impact of soak time (starting production right after the completion versus delaying it) on production?
Shale Analytics is the collection of the state of the art data driven techniques including artificial intelligence, machine learning, and data mining that addresses the above questions based on facts (field measurements) rather than human biases. Shale Analytics is the fusion of domain expertise (years of geology, reservoir, and production engineering knowledge) with data driven analytics. Shale Analytics is the application of Big Data Analytics, Pattern Recognition, Machine Learning and Artificial Intelligence to any and all Shale related issues. Lessons learned from the application of Shale Analytics to more than 3,000 wells in Marcellus, Utica, Niobrara, and Eagle Ford is presented in this paper along with a detail case study in Marcellus Shale.
The case study details the application of Shale Analytics to understand the impact of different reservoir and completion parameters on production, and the quality of predictions made by artificial intelligence technologies regarding the production of blind wells. Furthermore, generating type curves, performing "Look-Back" analysis and identifying best completion practices are presented in this paper. Using Shale Analytics for re-frac candidate selection and design was presented in a previous paper [1].
Sequenced Fracturing Technique Improves Production from an Underperforming Lateral: An Interpretation Based on High Frequency Pressure Monitoring
Authors: Klem Richard A. , Rutzinger Gunther , Shulman Mark , Pedam Sandeep , Keilers Adam , Bogdan Andrey , Oussoltsev Dmitri 
Published: January 2017

Abstract
Well "A" was drilled as a horizontal unstimulated producer in the Kuparuk oil reservoir. Though fracturing was considered during the design phase, the operator wanted to evaluate the well's performance without stimulation. The well was completed with a liner with 10 perforated pups spaced evenly along the wellbore without annular isolation. When production from the well fell short of expectations, hydraulic fracturing was considered, but the completion limited the options to effectively stimulate the lateral.
The chosen fracturing treatment was designed to balance maximum reservoir contact with economic considerations. In an attempt to place more than a single fracture at the weakest point of the 3,242 ft. lateral, it was decided to attempt eight fracturing stages separated by diversion pills. High-frequency (200 Hz) pressure transducers were used on the treating line. The data obtained from water hammers at the end of each stage allowed the estimation of diversion performance between fractures for each stage.
The stimulation treatment was pumped in the middle of the arctic winter, placing 580,000 lbm of 16/20 mesh ceramic proppant. The amount and placement of sequenced fracturing diversion material, consisting of a composite fluid with multimodal degradable particles and fibers, was adjusted based upon the surface pressure responses throughout the treatment. High-frequency pressure monitoring data revealed a shift in the fracture initiation along the lateral, and post-fracturing production exceeded expectations at 1,500 BOPD and stabilized near 300 BOPD, which is on par with project expectations.
High-frequency pressure monitoring applied to the evaluation of fracturing operations is still in its infancy, and there are limitations of this technique for wells with open hole completions. Combining high frequency pressure monitoring, ISIP data and post frac production data, it appears that sequencing fracturing diversion material can help to initiate more than one unique fracture.
An Investigation into Proppant Dynamics in Hydraulic Fracturing
Authors: Ray Baidurja , Lewis Chris , Martysevich Vladimir , Shetty Dinesh A. , Walters Harold G. , Bai Jie , Ma Jianfu 
Published: January 2017

Abstract
Effective proppant placement during hydraulic fracturing is essential to obtain maximum stimulation effectiveness. Understanding proppant placement requires the understanding of the time and space dependent dynamics of proppant motion in fluids, which include the phenomena of proppant transport, bridging, settling, and resuspension. This paper proposes a laboratory test method that can be used to investigate any aspect of proppant dynamics in a variety of channel configurations and fracturing fluids. 3D printing technology is used to rapidly manufacture channel flow devices of various dimensions. After a 3D printer is available, such manufacturing is extremely inexpensive with rapid turn-around times. These channels, in conjunction with laboratory scale pumps and blenders, are used to investigate proppant transport and bridging, settling, and resuspension in various fracturing fluids. Several different channel configurations, ranging from uniform width to uniform tapered, are used to investigate the dynamics of small and large diameter proppants with fluids ranging from water to linear gels. The results from these experiments are compared with numerical models for validation, and in some cases, calibration of model inputs, that can ultimately lead to improved fracturing treatment design and understanding. In addition, the paper provides a comparison to existing data (Patankar et al. 2002) to validate settling and resuspension models.
Experimental Study of Proppant Transport in Horizontal Wellbore Using Fresh Water
Authors: Ngameni Kamga L. , Miskimins Jennifer L. , Abass Hazim H. , Cherrian Bilu 
Published: January 2017

Abstract
Proppant transport in hydraulic fractures has been studied by numerous authors in the oil and gas industry, however, very little research has been conducted to evaluate proppant transport in horizontal wellbores and through perforation clusters prior to fracture entrance. With the extensive use of water and slickwater systems in the stimulation of unconventional reservoirs, an understanding of how proppant behaves as it is being transported by these fluids in horizontal wellbores and between perforation clusters would be beneficial.
This paper presents the results of an experimental investigation of proppant distribution among perforation clusters in a horizontal wellbore. The work considers the settling nature of proppants in the wellbore and the amount of proppant exiting a given set of perforations. The experiments show that proppant distribution between perforation clusters is not even, and the main causes of the uneven distribution are variable flow velocity and the associated proppant type and size. The results also indicate that in most commonly used sand proppant systems (100 mesh, 40/70 mesh, and 20/40 mesh), significant amounts of sand are left in the wellbore even above calculated critical velocity values.
Current Regulatory Issues Regarding Hydraulic Fracturing
Authors: Gray Michael , Deutsch Nicholas , Marrero Melissa 
Published: January 2017

Abstract
This paper provides an assessment of federal, state, and local regulations and legal activity regarding hydraulic fracturing as of late 2016. It includes a post-election assessment of how some results are likely to further impact hydraulic fracturing. The analysis includes a review of recent court cases, pending legal challenges and appeals, relevant statutes, and recent environmental studies affecting hydraulic fracturing. The paper also discusses possible future regulatory trends, recommendations for practicing engineers, and suggestions for corporate policy decision makers.
New Age Fracture Mapping Diagnostic Tools-A STACK Case Study
Authors: Haustveit K. , Dahlgren K. , Greenwood H. , Peryam T. , Kennedy B. , Dawson M. 
Published: January 2017

Abstract
The application of learnings from an underground laboratory has led to significant completion changes in a world-class North American unconventional asset. Understanding the stimulated fracture geometry in unconventional reservoirs allows for optimal development of the asset. In this paper, we will review a case study comparing both new and commonly accepted technologies to quantify stimulated fracture geometry.
The technologies applied to improve the understanding of fracture geometry in this case study include fiber optic monitoring (Distributed Acoustic Sensing and Distributed Temperature Sensing), borehole microseismic, electromagnetic imaging, offset well pressure monitoring with IMAGE Frac technology, water hammer analysis, and fracture modeling. The validation tools used include a production interference test, Rate Transient Analysis (RTA), Oil Soluble Tracers (OST), and Fracture Fluid Identifiers (FFI).
Fiber optic monitoring was used to assess cluster efficiency, fluid and sand distribution per cluster and diverter effectiveness. Hydraulic half-lengths, heights, and fracture azimuth were estimated using a borehole microseismic system consisting of three vertical arrays and two horizontal arrays. Electromagnetic imaging provided insight on hydraulic half-length for 12 stages. Offset pressure monitoring provided hydraulic and propped half-lengths, heights, and fracture azimuth. The fracture model was calibrated using a diagnostic fracture injection test and vertical logs from the section of interest. Results from the technologies suggest an increase in well density is required to maximize the project net present value.
The offset well pressure data coupled with fiber optic monitoring led to optimization of diverter applications. A variety of completion variables were tested, including fluid design, proppant size, perforation designs and diverter types, results have been integrated into an improved completion design.
Analyzing ISIP Stage-by-Stage Escalation to Determine Fracture Height and Horizontal-Stress Anisotropy
Authors: Roussel Nicolas P. 
Published: January 2017

Abstract
ISIP Analysis is a novel analytical method that calculates the hydraulic height of induced fractures and the in-situ horizontal stress anisotropy from the evolution of instantaneous shut-in pressures during a multi-stage horizontal completion. The fracture height calculated will be smaller than what is measured through microseismic measurement, but larger than the propped and effective fracture height.
Because every frac stage contributes to increase minimum horizontal stress and reduce the formation's horizontal stress anisotropy, ISIP Analysis may be a useful tool to guide the spacing design of perforation clusters. Increased characterization of hydraulic fracture dimensions from ISIP Analysis also makes it a useful addition to any workflow looking to optimize well spacing and stacking in unconventional plays. Multiple formulations of the stress escalation equation were derived, as well as type-curves that relate hydraulic-fracture height to the parameters of the equation. ISIP Analysis consists in finding the unique combination of parameters of the stress escalation equation that best matches field ISIP data. Application of ISIP Analysis is illustrated in the paper using field data taken from wells in various shale formations across North America. It addresses key uncertainties in the design of unconventional field development and is being proposed as an inexpensive alternative to other stress/fracture diagnostic techniques. In addition, the method has been successfully used to design the number of perforation clusters and their spacing to reach a desired magnitude of stress interference during horizontal-well stimulation.
While other techniques such as microseismic monitoring, tracers, downhole tiltmeters, pressure gauges, may be utilized to characterize fracture dimensions, the main advantage of ISIP Analysis is the ability to be applied to a vast majority of wells, without additional hardware, operational delay, or any modification to the well or completion design. As a result of its simplicity, ISIP Analysis takes a trained completion engineer only a few minutes to complete.