bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protecting Shoreline Sensitive Areas and Communities from Oil Spill Risk: Plan an Effective Oil Spill Contingency Plan (OSCP) for Oil & Gas Offshore Facilities Near Most Populated Island in the World
Authors: Mukmin Yuniria , Harjanto Meddy , Setiawan Setiawan , Wagianto Eko Hari , Sahli Mohammad 
Published: October 2022

Abstract
Java Island is the most populated island in the world and consists of many sensitive areas include community, fishery site, mangrove and recreational beach. Pertamina EP Cepu Regional 4 (East Indonesia Region) has 2 major offshore oil & gas platform facilities near Java Island shoreline which are Pertamina Hulu Energi WMO Field (WMO Field) and Pertamina EP Sukowati Field (Sukowati Field) that have the potential of releasing more than 100.000 Barrel (total) of crude oil into sea in case of emergency. Learning from previous oil spill event, it is crucial for the company to control risk that could occurs by establishing an effective Oil Spill Contingency Plan (OSCP) document in order develop an effective countermeasure to define action plan to control and clean oil spill.
The OSCP starts by identifying operation activities with significant oil spill risk (scenarios). Based on PHE WMO and PEP Sukowati oil spill risk assessment, 8 oil spill scenarios (3 scenario for WMO Field and 5 scenarios for Sukowati Field) are identified as threats related with potential oil spill direct impact to sensitive area and communities. Scenarios identified are then simulated in Oil Spill Trajectory Model Software that involves sea current and wind of local condition to predict oil spill trajectory throughout different seasons of the year resulting calculation of estimated time and place of oil spill impact. The OSCP include sensitivity map to identify resources needed. In addition of risk analysis and oil spill simulation, the OSCP also consists of methodology and technique to specify monitoring, evaluation, mechanical/chemical handling, shoreline protection at different type of area.
Major event identified through risk assessment are FSO spill, vessel collision, subsea/export pipeline rupture and well blowout. Major oil spill scenarios occur during West Season (Dec-Feb). According to Field oil spill trajectory simulation, oil spill will reach shoreline 2 to 144 hours after oil spill released. Based on exercise and terrain assessment, the impacted area could be reached in max 60 minutes (Sukowati Field scenario) and 2-3 hours (WMO Field). Each scenario is assessed for oil spill strategy based on time and place of impact, sensitivity, equipment mobilization interval and environment surrounding and determine action needed to contermeasures oil spill impact. The accuracy of the OSCP document implementation and effective emergency intervention will be able to provide a promising responding method to control oil spill pollution.
An Integrated Approach in Pore Pressure Prediction Contributes to Drilling Success of a HPHT Wildcat Well in South China Sea
Authors: Guan Lijun , Wang Xiannan , Wang Shanshan , Zhou Yongsheng , Ong See Hong , Ghosh Amitava , Wiprut David 
Published: October 2022

Abstract
An accurate pore-pressure prediction plays an important role in well planning as exploration targets shift to deeper over-pressured reservoirs. Pore pressure related problems in high-pressure high-temperature (HPHT) wells include well control, lost circulation, formation breathing, differential sticking, reduced penetration rate, and reservoir damage, many of which can potentially lead to expensive sidetracks, underground blowouts and early well abandonment.
An integrated approach can help with better understanding the pore pressure regimes, including generating mechanisms as well as pressure preservation and dissipation processes through geologic time. This improved understanding provides invaluable insight into the different drilling challenges and the strategy to mitigate or minimize pore pressure related problems. Once the pore pressure model is established, the in-situ stress tensor needs to be constrained following a well-developed geomechanical modeling workflow. Both the pore pressure and in-situ stress models are required for wellbore stability analyses to understand wellbore failure mechanisms as well as the design of optimum mud weights. Additional considerations include drilling through faults, which due to the field's unique structural characteristics could further complicate the already difficult drilling condition in a HPHT environment.
This paper presents a case study to highlight the utilization of an integrated approach for pore pressure prediction to reduce drilling risks and costs of a HPHT well located in South China Sea. Prior to drilling, the major risk anticipated for this well, which was required to explore a deep-play at 5 Km MD, was high-pressure (1.53 sg at 4800 m TVD) and high-temperature (172 ºC at 4800 m) with narrow margin drilling conditions. Geomechanical studies that include both pre-drill and real-time (RT) drilling components provided inputs for effective well designs and drilling operation supports. Compared to the drilling of an offset well which had to be prematurely terminated due to continuous high total gas encountered despite increased mud weights, the planned well was successfully drilled to the target zone with no issues even drilling at high rate of penetrations (ROP). This new drill was the best well ever recorded in the block.
The adaptation of the integrated approach in pore pressure prediction has successfully reduced the occurrence of borehole instability related problems and the associated non-productive time (NPT). The drilling performance and well delivery efficiency of future wells will improve with additional operational experience and geomechanical understanding obtained from additional drilling. This continuous learning process will be the key aspect of this project, ultimately contributing to the overall success of the field development.
In-Depth Rheological Evaluation of Gas Tight Cement for Shallow Gas Application
Authors: Agista Madhan Nur , Khalifeh Mahmoud , Saasen Arild 
Published: October 2022

Abstract
Short-term gas migration during the cementing process has been a challenge in the oil and gas industry. During the curing process, the cement slurry will slowly lose its hydrostatic pressure allowing gas from the formation to enter the annulus. The ideal cement should generate gel structure rapidly after the pumping is finished to hold gas from entering the slurry. Therefore, the rheological properties of cement play a key role in designing reliable gas tight cement. Sets of rheological evaluations were performed on four different zonal isolation materials (neat G cement, geopolymer, gas tight cement, and rapid hardening cement). The cement samples used in the evaluation are industrially used for cementing jobs in the North Sea. The flow rotation and oscillation test were executed at 25°C by using a rheometer. The flow rotation test was performed initially and followed by the oscillation test. In the flow rotation test, the slurry was pre-sheared at 100 1/s for 60 sec, continued ramp-up (0.01-511 1/s) and ramp-down (511-0.01 1/s). The hysteresis area between ramp-up and ramp-down shows the degree of thixotropy of each material. Afterward, an amplitude sweep test was performed at a constant frequency of 10 rad/sec under oscillation movement. The test showed the behavior of materials under a deformation phase. The set of tests measured the storage modulus (G′) and loss modulus (G″) at elevated strain. It also shows the elasticity of the material and its internal strength which could be important parameters for handling the gas invasion. Of four different types of cementitious material, the commonly used gas tight cement had the highest thixotropy and good elasticity compared to other cementitious materials which could explain how it has been widely used for shallow gas cementing. This paper provides an in-depth rheological evaluation of gas tight cementitious material to better understand the importance of rheological parameters for shallow gas and water bearing zones.
Comparison of Porosity and Permeability from Drill Cuttings and Core Samples for Mudrocks: A Proof of Concept Study
Authors: Sazali Wan Muhammad Luqman bin , Busch Andreas 
Published: October 2022

Abstract
Understanding CO2 migration through the reservoir seal is one of the main challenges in assessing caprock integrity, thereby ensuring safe and long-term CO2 containment and storage. The determination of seal rock properties using core sample analysis or well data is important to predict matrix migration of CO2 to minimise the risk of capillary leakage. However, core samples and continuous well log data of caprock sections are expensive and limited. This issue can potentially be resolved by using cuttings, that are readily available from drilling, with no additional coring cost. However, before drill cuttings can be used as an alternative, rock properties (porosity and permeability) values from drill cuttings must be correlated with rock properties from the preserved core data, for proof-of-concept purposes. In CO2 storage sites, the caprock zone is usually comprised of low permeability mudrocks. Due to the low permeability of caprocks with values &lt;1 microDarcy (10−18 m2) conventional core analysis is insufficient to determine porosity and permeability. We here use helium pycnometry for porosity determination on plugs and mercury porosimetry on cuttings. Meanwhile, the selected methods for permeability determination is an unsteady-state technique for plugs, and pressure decay / GRI method for cuttings, as both methods can measure permeability down to or even below nanoDarcy (10−21 m2). For the proof-of-concept study, we expect a correlation between plug and cuttings permeabilities of R2&gt; 0.8 as indication of success criteria, based on strong effect size from statistics point of view. Using data from literature, permeability and porosity values from core samples match the permeability from cuttings with R2 &gt;0.9. The R2 value for cutting versus plug porosity is 0.95, which is satisfies the success criteria as well. The correlations show that porosity and permeability values from cuttings are comparable to values from plugs and can be used as an approximation for the uncored zone. This proof-of-concept study marks the beginning of a full fledge research study to establish porosity and permeability relationships in caprocks, which can be used as inputs in predicting CO2 matrix migration for safe geological storage of CO2. In addition, this approach can be applied to unconventional oil and gas studies, with potential cost saving from coring operations.
The Impact of Initial Oil Saturation on Wormhole Propagation in Carbonate Reservoirs
Authors: Abdelmoneim Sherif S. , Nasr-El-Din Hisham A. 
Published: October 2022

Abstract
Carbonate acidizing has been used for nearly a century in the oil and gas industry. Despite the numerous research efforts to understand the acid effect on carbonate reservoirs, the majority of the work only considered fully water saturated samples, which does not accurately duplicate the situations encountered in the field. The objective of this work is to investigate the effect of oil saturation on the acid volume requirements and the optimum injection rate.
Coreflood experiments were used to examine the effect of the presence of oil on both the pore volume to breakthrough and the optimum injection rate. Three saturations were considered: fully water-saturated, residual oil saturated, and connate water saturated cores. Six different flow rates were tested: 1, 2, 3, 5, 10, and 15 cm3/min. Cores were tested under both aged and unaged conditions to investigate the wettability effect. The pore volumes of acid injected to reach breakthrough were used to identify the optimum injection rate for each set of experiments. The wormhole shape was inspected using computed tomography.
Experimental results show that the oil saturation improves the efficiency of limestone acidizing by decreasing the volume requirements to achieve breakthrough. The pore volume to breakthrough for all flow rates decreased from the fully saturated conditions, with the connate water saturation condition showing the lowest acid volume required. A correlation between the oil saturation, the pore volume to breakthrough for fully water saturated cores, and the pore volume to breakthrough for oil saturated cores is proposed. This correlation can predict the acid requirements for oil saturated conditions, in agreement with the current literature. Additionally, the oil saturation decreased the optimum injection flow rates due to the change in the area available to flow, and thus, the effective acid velocity in the pores. Lastly, the rock wettability effect was minimal on both the volume and the optimum injection rate.
This work explains the contradicting observation in the literature and determines the effect of the initial oil saturation on the wormhole process. In addition, a new correlation is suggested that can help industry professionals better design acid field treatments to account for the effect of oil present in the near-wellbore area.
Comparison of the Time-Lapse 4D Seismic Characteristics in MMV Between Carbonate and Clastic Reservoirs as CO2 Storage in Malay and Sarawak Basins, Malaysia
Authors: Tiwari Pankaj Kumar , Das Debasis Priyadarshan , Widyanita Ana , Leite Renato Jordan , Chidambaram Prasanna , Patil Parimal Arjun , Masoudi Rahim , Tewari Raj Deo 
Published: October 2022

Abstract
There are many gas fields associated with large amount of CO2 concentrations (&gt;50 mol%) in offshore Malaysia. Development of the contaminated gas fields is only possible if a geologically safe storage site is identified for the storage of produced CO2. The critical component of CCS project field development plan is monitoring of the storage site for the long-term containment and conformance security. 4D time-lapse seismic is key in monitoring, measurement, and verification (MMV) plan.
The time-lapse 4D seismic has been traditionally used to identify the potential threats associated with reservoirs with enhanced oil recovery plan. The application of 4D seismic would benefits CCS project for monitoring CO2 plume migration along existing or induced fractures. The study was conducted on identified CO2 storage sites in both depleted carbonate gas reservoir and clastic saline aquifer. It highlights two methods applied in the 4D AVO analysis, that quantifies the changes in CO2 saturation within reservoir during injection. The Aki and Richards’ approximation were analyzed for the effect of changes in gas saturations on the seismic amplitudes and the Smith and Gidlow's approximation for the reflection coefficient relationship between the AVO gradient/intercept attributes and reservoir fluid/properties.
The application of 4D seismic would benefits CCS project for monitoring CO2 plume migration along existing or induced fractures. The study was conducted on identified CO2 storage sites in both depleted carbonate gas reservoir and clastic saline aquifer. It highlights two methods applied in the 4D AVO analysis, that quantifies the changes in CO2 saturation within reservoir during injection. The Aki and Richards’ approximation were analyzed for the effect of changes in gas saturations on the seismic amplitudes and the Smith and Gidlow's approximation for the reflection coefficient relationship between the AVO gradient/intercept attributes and reservoir fluid/properties. This study focuses on the different characteristics on 4D seismic attributes for carbonate and clastic reservoirs and discusses to effectively utilize for MMV.
Breakthrough Stimulation Method: Dilation Cyclic Extended Breakdown to Enhance Well Injection Performance and Stimulation Cost Efficiency in South Sumatra -Indonesia
Authors: Proboseno Nayung Galih , Demak Ridwan Kiay , Riviana Rina , Yanuardi Ayi , Parsaulian Sakti , Surya Dayanara , Setiawan Rudhy 
Published: October 2022

Abstract
Water injection is an essential part of brown oilfield development plan both of pressure maintenance or water production management. The high cost and often tight economic margins associated with injection wells capacity require that the chosen stimulation technique not only provides an effective result to maximize injection well capacity but also carries an acceptable risk in term of the project cost and safety. Many well known techniques, such as fracturing and matrix acidizing have been developed over the years to achieve this result and are common in most water injection well operations. The objective of this paper is to show a new approach of stimulation technique can be maximized both of injection capacity and cut operational cost Dilation Cyclic Breakdown is a breakthrough stimulation technique through hydraulic treatment by injected high volume of formation water into the reservoir below tensile stress and above shear stress. The primary design that have led to these technique include the following steps : Certain criteria were used for pilot well such as hall plot and single well of nodal analysis. Operation can be performed by rigless operation and no chemical additive needed, equipment selection is approached by 3D fracture simulator both surface pressure and injection rate correlated to mechanical earth model syntethic. Pumping schedule and the number of cycle is optimized by pressure calibration analysis during Breakdown test, Step Rate Test and decline pressure analysis. It was critical that Step Rate Test and decline pressure analysis procedure be performed to determine fracture gradient as upper bound pressure and shear gradient as lower bound pressure.
Various procedures were used in handling data recorded. Injection and pressure data from each well were plotted to observe the trend in the rate - pressure relationship. Nine injection wells were stimulated during 2020 - 2021. It has been an attractive result both of cut operational cost and increase injection capabilities. The operational cost per well can be reduced to $ 46,000 or 72% cheaper than matrix acidizing stimulation and the total incremental injection rate reach to 14,907 Bwipd or 1,656.3 Bwipd per well. A half of those injection wells were previously stimulated by matrix acidzing method but has not yet improved significantly. In addition, this method is also applied for two oil producer wells in sandstone reservoir as a pilot test. The increasing of Productivity Index greater 6.5 - 8x than initial as a result and has still been observed. Furthermore, this paper should be beneficial to all engineers currently working in brown and marginal Oil Field with tight economic margins to increase the production.
Data Fusion based on Big Data Techniques in Intrusion Detection Context
Authors: Jemili Farah 
Published: October 2022

Abstract
Intrusion detection is seen as the most promising way for computer security. It is used to protect computer networks against different types of attacks. The major problem in the literature is the data classification problem in two main classes: normal or intrusive. To solve this problem, several approaches have been proposed but the problem of false alarms is still present. To provide a solution to this problem we have proposed a new intrusion detection approach based on Big data techniques. The objective of this work is to present an approach of data fusion using Big Data techniques in order to detect intrusions. This article presents how to merge two or more intrusion detection datasets using the Hadoop ecosystem and Neo4j graph database. The main objective of this paper is to build one dataset which combines various datasets and contains all the attack types. This research consists in merging the heterogeneous datasets and removing redundancy information using Hadoop and Neo4j. In final step fuzzy decision tree algorithm is implemented for learning. This algorithm is called SSDM (Semantically Similar Data Miner), it is to classify the data detected in intrusive or normal classes and uses fuzzy logic whose purpose is to generate association rules between the different elements extracted from the database. The K2 algorithm is also implemented in order to learn from data and detect intrusions. Experimentation results prove that data fusion contributes to have better results in terms of detection rates and false positives.
Parallel interrogation of the chalcogenide-based micro-ring sensor array for photoacoustic tomography
Authors: Pan Jingshun , Li Qiang , Feng Yaoming , Zhong Ruifeng , Fu Zhihao , Yang Shuixian , Sun Weiyuan , Zhang Bin , Sui Qi , Chen Jun , Shen Yuecheng , Li Zhaohui 
Published: October 2022

Abstract
Photoacoustic tomography (PAT), also known as optoacoustic tomography, is an attractive imaging modality that provides optical contrast with acoustic resolutions. Recent progress in the applications of PAT largely relies on the development and employment of ultrasound sensor arrays with many elements. Although on-chip optical ultrasound sensors have been demonstrated with high sensitivity, large bandwidth, and small size, PAT with on-chip optical ultrasound sensor arrays is rarely reported. In this work, we demonstrated PAT with a chalcogenide-based micro-ring sensor array containing 15 elements, while each element supports a bandwidth of 175 MHz and a noise-equivalent pressure of 2.2 mPaHz− 1/2. Moreover, by synthesizing a digital optical frequency comb (DOFC), we further developed an effective means of parallel interrogation to this sensor array. As a proof of concept, parallel interrogation with only one light source and one photoreceiver was demonstrated for PAT with this sensor array, providing images of fast-moving objects, leaf veins, and live zebrafish. The superior performance of the chalcogenide-based micro-ring sensor array and the effectiveness of the DOFC-enabled parallel interrogation offer great prospects for advancing applications in PAT.
A Constrained Robust Switching MPC Structure for Tilt-Rotor UAVs Trajectory Tracking Problem
Authors: Eskandarpour Abolfazl , Mehrandezh Mehran , Gupta Kamal , Ramirez-Serrano Alejandro , Soltanshah Mohammad 
Published: October 2022

Abstract
In tilt-rotor UAVs, both the fuselage and tilting rotors contribute to the vehicle's rotational motion. Consequently, the system's dynamics rise to a highly-nonlinear system, making it challenging to find feasible and desired control solutions. The common control practices devise a logic-based controller to switch between different flight modes or map the control inputs to the conventional helicopter-type control inputs. However, they fail to provide energy-efficient fast trajectory tracking, especially in the presence of external disturbances. This paper proposes a general-model dynamic formulation and a two-layered constrained Model Predictive Control (MPC) strategy to tackle the trajectory tracking problem for tilt-rotor UAVs. After splitting the vehicle's dynamics into translational and rotational parts, a constrained Linear MPC (LMPC) is designed for the translational dynamic to follow a reference trajectory. We formulate the LMPC as a Quadratically-Constrained Quadratic Problem (QCQP) that leads to a feasible set-point solution for the rotational control layer without violating the physical constraints. Also, an optimizer is designed to generate a thrust vector, which leverages the vehicle's full potential via a continuous transition between the rotation in the fuselage and that in tilting rotors. In the second layer, the nonlinear rotational dynamics are approximated via piecewise affine (PWA) subsystems. A constrained Robust Switching MPC (RSMPC) is then designed to follow the first layer's generated trajectories (Euler angles and the thrust vectors) while preserving the system's stability, feasibility, and robustness in the presence of external disturbances. Furthermore, by providing an augmented dynamic model, this control design would allow for directly incorporating actuator constraints into the problem formulation. We demonstrate the controller's performance and effectiveness via simulations.