bluuebunny/crossref_metadata_2025_split huggingface dataset:
Media Framing of QS. al-Nisā’ [4]: 34 by @quranreview on Instagram: Glorifying Women Tendencies in Interpretation
Authors: Ghozali Mahbub , Nurmadiansyah Muhammad Toriq 
Published: July 2023

This study examines @quranreview's interpretation of Qur'anic verse QS. al-Nisā' [4]: 34 on social media, focusing on the words used to convey meaning. Interpreting the Qur'an on social media is often simple and direct, as it involves exploring the meaning of verses through individual comments. However, this approach needs to improve in that it can sometimes overlook the central message of the verse due to its focus on individual words. Discovering the tendency of word choice in interpreting the Qur'an contributes to developing interpretation in social media. Through a qualitative analysis using critical discourse analysis by Teun A. van Dijk, we found that @quranreview deliberately chooses representative words to challenge the traditional interpretation of the verse, which can be discriminatory towards women. The study highlights the importance of careful word choice in interpreting the Qur'an on social media, especially when dealing with sensitive and controversial topics. It also suggests that @quranreview's tendency to glorify women in its interpretation can contribute to a broader and more nuanced understanding of the text.
Analysis of Food Cost and Food Perception with Food Waste of The Supplemental Food for School Children in Elementary School Children at Kulon Progo District
Authors: Hartika Andi Yuniarsy , Kandarina BJ Istiti , Ihwani Nur Hadi 
Published: July 2023

Background: The success of the Supplemental Food for School Children program is determined by the child's acceptance of the food provide. Objective: to analyze appropriate costs and perceptions of food with additional food leftovers for elementary school children in Kulon Progo Regency. Methods: The research design is a cross-sectional design. This research was conducted on 89 elementary school children from grade IV to grade VI in 4 elementary schools that received PMT AS in Kulon Progo District with simple random. The research instrument used a food cost calculation form, a food perception questionnaire with a smiley face, a food weighing device, a comstock scale form with a 6-point visual estimation method. Analysis of bivariate using chi square test and multivariate using logistic regression test.Results: The bivariate analysis results showed a significant relationship between the cost of food and the perception of The Supplemental Food for School Children with p = 0.002. There is a significant relationship between food perception and food waste of The Supplemental Food for School Children with p = 0.000. Finally, there is a significant relationship between food costs and food waste with p = 0.007. The results of multivariate analysis, food costs and perceptions contributed 29% to reducing food waste. Conclusion: Appropriate food costs and perceptions of preferred the food are associated with the least leftover food waste for school children.
Key words : Food Cost, Food Perception, Food Waste
Food Diversification of Female Adolescents At Rimau Islands, Sumur Village: Case Study
Authors: Wijaya Sofyan Musyabiq , Anggraini Dian Isti , Sutarto Surarto 
Published: July 2023

Background: The total nutritional needs during adolescence are higher than at any other time in the life cycle. Nutrition and physical growth are integrally related; Optimal nutrition is a condition for achieving optimal growth potential. This creates an increased need for energy and other nutrients. One of the appropriate policies to be implemented in achieving food independence and anticipating the food crisis is food diversification. Food diversification is a process of food diversity or efforts to increase the consumption of various foods with the principle of balanced nutrition. Objective: The purpose of this study was to determine the diversification of protein source food in young women in the Rimau islands of South Lampung Sumur village. Method: This study used a qualitative design (cases study) using in-depth interviews. The study was conducted within 6 months with 4 respondent Results: The results of the study explained that there limitations in obtaining animal protein sources, thus affecting the diversification of protein sources. Protein sources that are often consumed are eggs and tempeh which do not require a refrigerator in food storage while fish catch hail is sold for economic needs, and is rarely consumed alone. Conclusion: The diversity of protein sources and diet influences the nutritional status of young women at Rimau Islands, Sumur Village, South Lampung.
Drainage Strategy Optimization Using Machine Learning Methods
Authors: Gomes Diullei M. , Lawal Isah A. 
Published: July 2023

ABSTRACT
Oil production optimization is a crucial issue in the oil industry. Simulating different production scenarios effectively and quickly enables companies to automate and optimize production systems. This paper presents a study on developing intelligent agents to aid reservoir engineers in optimizing oil production. We propose a machine learning model for optimizing oil production over time by adjusting the pressure in oil reservoirs. The proposed model architecture uses three encoders (field values encoder, well values encoder, and 3D grid values encoder) to process input data. Using the encoder outputs, a dense neural network generates a policy function that determines how much pressure adjustment is required for each well in the oil field based on the probability distribution. We evaluate the proposed approach through experimentation. It is worthwhile to mention that, in our experiments, we had to discretize the reservoir well pressure adjustments to be able to compute them. Nevertheless, the results of the experiments show that our proposed model can learn how to optimize the reservoir well pressure with an Elo rating of 349.40 points after training over eleven generations. Also, the results show that the optimization process increases oil production by 1074.5% on a simulated test reservoir with two producers and one injector well, respectively. Although our experimental results reflect only the case of a simulated reservoir environment, we can see that our implementation has huge potential in a real oil reservoir field.
Improving Velocity Model Using Double Parabolic RMO Picking (ModelC) and Providing High-End RTM (RTang) Imaging for OML 79 Shallow Water, Nigeria
Authors: Osimobi J. C , Ifeanyi Ekemezie , Onwuka Obobi , Deborah Uraechu , Kanu Magnus 
Published: July 2023

Abstract
In this paper, we will be discussing how we solved a legacy seismic issue using pragmatic geophysics techniques- from seismic acquisition, through processing and interpretation. The legacy seismic had an inherent seismic acquisition issue as it was a streamer acquisition acquired along the geologic structural strike direction. With the legacy seismic it was difficult to mature and explore the especially the deeper opportunities in the field and not allowing for full realization of the hydrocarbon potentials in the area. To solve these pending issues, we had a campaign to acquire one of the biggest Ocean Bottom Node (OBN) seismic dataset in the entire Shell group as at the time of the acquisition, we deployed the best of seismic pre-processing (denoise, deconvolution, de-multiple, amplitude balancing etc) tools, built a robust seismic velocity model using the Double Parabolic RMO picking methodology which gave rise a detailed and geologic velocity mode. On top of this we deployed an advanced imaging technology of Revers Time Migration (RTM) and took a longer route and more expensive flavour of RTANG option to generate at optimum stack at RFLANG 0-42 degree. Furthermore, understanding and observing residual noise in the form of conflicting dips to the geologic dips of the survey, we deployed the DIP_FLT tool which took out the conflicting dips and left us with a cleaner dataset. Higher-order double parabolic moveouts were picked in azimuthal direction to account for the velocity variations in the Residual Moveout (RMO). The picks were then inverted using conventional Travel Time Tomography (TTI) workflow. This resulted in robust velocity model, shows more realistic geological details. Sonic log (DT) also indicated that Model C was an improved Model compared to Model B. The seismic imaging approach was using the Reverse Time Migration (RTM) algorithm for BASE RTMIG image and then used the RTANG (entailed Compute angle and azimuth from local subsurface-offset analysis and reflector dips, write image, angle, azimuth volumes to disk) option to select optimum REFLECTION angle for optimum stacking, and the DSSRT post migration provided a noise filtered version of the BASE RTMIG image.
Bit Balling: Causes, Effects and Mitigation Using Bunmi-01 Well in Niger Delta as a Case Study
Authors: Kehinde Sodiq Adejuwon , Ajayi Olawale I. , Akpan Unwono , Odesa David E. 
Published: July 2023

Abstract
Drilling operations is typically characterized by various operational challenges ranging from surface to subsurface issues. The most prevalent subsurface drilling problems include pipe sticking, lost circulation, borehole instability, bit balling, hole cleaning etc. This paper aims to analyse the causes and effects of bit balling and the mitigation strategies that can be employed in the well planning and drilling phase using Bunmi-01 well in Niger Delta as a case study. Analysis of drilling data gathered from Bunmi-01 well shows that the bit balling is more prominent at depths within the range of 3,000ft – 6,800ft, mostly in the top-hole section (17½") of the well. In the well of interest, the bit balling phenomenon was characterized by a significant drop in average ROP from 78.8ft/hr to 1.5ft/hr (with instantaneous ROP as low as 1ft/hr) and increase in standpipe pressure from 1,200psi to 1,350 psi. Mud logging data also indicated a transition in lithology from predominantly sand (Sand: 70%, Clay: 30%) to predominantly clay (Sand: 20%, Clay: 80%). A total rig time of about 16.5 hrs (NPT) was lost in tripping out of hole, breaking up and making up a new BHA and tripping in hole back to the bottom of the well. This corresponds to about $56,000 in costs incurred. As highlighted above, bit balling poses a threat to achieving desired cost savings through efficient drilling operations, hence it is necessary to put in place effective mitigation strategies both in the well planning and drilling phase to tackle its undesirable effects. This includes optimal bit selection and hydraulics, effective mud conditioning (addition of clay inhibition material – KCl polymer, glycol), proper hole cleaning practices, appropriate monitoring, and control of drilling parameters – ROP, flow rate and weight on bit (WOB) etc.
Application of ANN-Based Proxy and Metaheuristic Algorithms in Well Spacing Optimization in a Fractured Tight Reservoir
Authors: Anumah Prosper , Azadbakht Saman 
Published: July 2023

Abstract
Optimizing well spacing is a critical step in the development of an oilfield. Several approaches have been employed over the past decades in an attempt to obtain an efficient and cost-effective well spacing methodology. The desire to achieve a fast-paced well spacing optimization outcome is not yet realized. This study explores the use of a data-driven surrogate model and metaheuristic optimization algorithms in optimizing the well spacing in a fractured tight reservoir in Saskatchewan, Canada. The wells considered drain oil from the Viking Formation located in the Avon Hill field.
Multilayer perceptron (MLP) neural network is trained to predict time-series cumulative oil and gas production. The training and testing data were obtained from the history matched numerical reservoir model of the Avon Hill field. The artificial neural network (ANN) surrogate model is then coupled with Particle Swarm Optimization (PSO) algorithm, and Genetic Algorithm (GA). Maximization of the net present value (NPV) is set as the objective function with well spacing, fracture conductivity, fracture half-length as the control variables. 3 well spacing optimization workflows are then developed comprising of ANN based proxy only, ANN-PSO and ANN-GA.
It is found that the use of the ANN-based proxy model enables various combinations of well spacing and fracture designs to be tested at higher computational speed compared to numerical simulation. The results also show that the PSO outperformed GA in terms of converging at a higher objective function value and at a higher convergence speed. Applying the proposed workflows to the Avon Hill field, it is found that the optimal well spacing ranges between 124 m to 132 m. This work reveals that variations in fracture geometry design significantly affects hydrocarbon recovery and economic performance of a fractured tight reservoir and these variations can be efficiently explored by the use of machine learning techniques.
Harnessing Renewable Energy (Biofuels) Potentials through Bioenergy Simulation for Economic Electricity and Heat Generation and Reduction of Net Carbon Emissions in Gombe State, Nigeria.
Authors: Dawaki A. , Abdulkadir U. , Chukwuka P. , Musa U. J. , Eme A. M. 
Published: July 2023

Abstract
Bioenergy is one of the various renewable options available to help satisfy global energy demands and reduce carbon imprints. This research work focuses on animal wastes and agricultural residues in Gombe State to maximize the potential for bioenergy resources. The production data for major agricultural crops output and quantity of livestock available were obtained from the Gombe State Ministry of Agriculture and Animal Husbandry. For the estimation of potential bioenergy, the International Renewable Energy Agency IRENA's geospatial tool Bioenergy Simulator was utilized. The overall projected amount of agricultural residues accessible for bioenergy, according to the research, was 2.39 million tons of residue. Based on these projections, agricultural residue has the ability to generate 7.1 million gigajoules of bioenergy. The total gross power and heat generated by these agricultural wastes are estimated to be 11.47 million GJ (3.19 MWh) and 65.71 million GJ (18.925 MWh) respectively. In the case of animal manures, it is estimated that 8.17 million GJ (2.26 MWh) and 9.98 million GJ (2.77 MWh) of total gross electricity and heat will be produced. Furthermore, by utilizing the waste's gross power generated from the wastes, the emission of approximately 702,000 tCO2e from the use of grid electricity will be avoided. The study therefore recommended that the economic viability of establishing such a bioenergy project be properly studied and that the Gombe State Renewable Energy and Energy Efficiency Policy should be promoted in order to establish a stable and consistent environment for the bioenergy sector in Gombe State.
Bonga Deepwater Project Mid-Life Abandonment Campaign – A Success Story
Authors: Ojeh-Oziegbe Osehojie , Okosun Augustine , Adubi Oladokun , Ugoh Oluwatobi , Ezenwanne Elesie , Jenakumo Timi 
Published: July 2023

Abstract
When oil and gas wells have been produced to the end of useful life, when the cost of production relative to the value derived converge to a point when producing the well is no longer profitable, the wells are decommissioned. Oil and gas well decommissioning and restoration refers to the process of permanently sealing and abandoning oil and gas producing reservoirs within a wellbore that are no longer productive or economical to operate, in a way that ensures safety and environmental protection in accordance with industry and local regulatory standards and requirements.
As part of this philosophy, The project strategy was to decommission and abandon depleted wells as they reach their end of useful life in accordance with Shell PLC guidelines and local regulation as specified in Environmental Guidelines and Standards for the Petroleum Industry In Nigeria (EGASPIN). The field's midlife abandonment project was a first in deep water environment in Nigeria, developed and executed to permanently abandon selected wells that have reached their end of useful life by permanently isolating the reservoirs zones that are capable of flow and restoring caprock. This was achieved by recovering the completion, production and intermediate casing strings to expose the reservoirs traversed by the wellbore, then restoring the caprock using cement plugs which were set to create a rock-to-rock isolation of all zones with flow potential within the primary wellbore. The objective was to prevent crossflow between reservoir zones, isolate the reservoirs from the environment and marine life while safeguarding all subsea infrastructure from damage arising from the well abandonment operations.
In total, thirteen wells with varying degrees of complexity were successfully decommissioned and restored without incidents or accidents. The fourteenth well had to be re-suspended due to multiple complex challenges which emerged during the abandonment campaign. The well needed to be replanned, ensuring the required equipment to execute the emerging challenges were available. As with every new project, several challenges were encountered, and new ideas were developed. These ideas include achieving better well integrity coupled with improved tubing and casing recovery practices and optimized cement plug placement will be a foundation for future deep water well abandonment in Nigeria specifically and the industry at large. The learnings from the project were adopted to generate a Standard Operating Procedure (SOP) for deep water well abandonment. These SOPs and all other learnings and best practices that led to the success of the mid-life abandonment campaign will be adopted in executing the end of field life abandonment for the project and will be shared on this paper.
Pressures and Pressure Derivatives of Vertical and Horizontal Wells Located Within Intersecting Sealing Fault and Constant Pressure Boundary
Authors: Ojah M. G. , Adewole E. S. , Emumena E. 
Published: July 2023

Abstract
The optimization of the performance of oil and gas wells (whether vertical or directional) as well as well location from external reservoir boundaries or faults has been a major concern of the reservoir engineer over the years. This work presents an accurate method for evaluating the performance of both the vertical and horizontal wells each located within an intersecting sealing/no-flow boundary and a constant-pressure boundary. The main aim of this study was to investigate the transient pressure behaviour of a vertical well as well as a horizontal well located within an intersecting sealing fault and a constant pressure boundary. The methods employed in computing the dimensionless pressures and dimensionless pressure derivatives for both well types include the method of images and principle of superposition. The computations were also made using Microsoft Excel, Python and MATLAB software. The results obtained show that for the selected parameters; 1) the models give accurate estimation of distances between active and image wells, PD and PD’, 2) at 30 hours of production, both wells completely overcome the effects of the boundaries at 2000 ft. equidistant to faults, 3) for the infinite-acting reservoir, a characteristic values of PD’ for the vertical and horizontal wells are 0.5 and 0.2 respectively, 4) for both well types, the effect of the upper boundary is greatly felt between distances of 5.00ft. and 10.00 ft., and beyond this region, the effect of the lower boundary becomes gradually felt and then, greatly felt beyond 15.00 ft. The relationship between the pressures and unequal faults distances has no maximum or minimum points, 5) the point with the least effect of either or both boundaries as well as longest transient period is point 3 (equal distance of 15.00 ft. from both boundaries). This is the point of optimal productivity, 6) for a given distance, both PD and PD’ decrease as horizontal well length L increases, 7) for all the cases considered and dimensionless time tD, both PD and PD’ decrease with increasing horizontal well length. The longer the well length, the lower the drawdown required to give same effects, as would shorter lengths, on the well performance at a given time of production thereby prolonging production over time, and 8) for a given distance, the horizontal well length has no impact on the flow periods. The type curves can be used for matching of actual pressure drawdown data and determining the drainage area and relative well location with respect to physical boundaries. Worthy of future research are similar works on; 1) anisotropic reservoir, 2) larger values of faults distances, and 3) angles other than basic angles.
Volume to Value Integrated Analysis for New Opportunity. A Case Study
Authors: Nwaokorie Chukwuemeka , Festus Ogbonna 
Published: July 2023

Abstract
Present investment constraints in the industry require creative thinking, analysis and improved decision-making pattern in Brown field Development, Exploration and New Frontier investments. Value driven modeling and optimization provides an integrated approach where risking, volumetric uncertainties, schedule, cost, concepts, and fiscals are covered under one umbrella providing insights into risked value. This translates to probability distributions, e.g., hydrocarbon volume, reservoir parameters and their associated value (NPV) metrics (Fig.1). The case study is an opportunity in Shallow Water offshore Nigeria.

Problem Statement
Optimal use of scarce investment resources and the need to make robust decision with end-to-end view of the risks and subsurface uncertainty impact on the project value and promised volume.
The methodology involves integration of subsurface analysis including risks/uncertainties of ten thousand (10K) realizations and stochastic surface network/Financial model analysis. These different analyses are integrated via a workflow to generate key insights in form of plots/data to enable business leaders make informed decisions having considered multiple possible realizations. These also provide insights in key drivers in an opportunity evaluation. The turnaround time is comparable to the processing of the discrete scenarios but adds much more value for the decision makers.
The results were generated with the help of spotfire tool (smart analytics tool) to give flexibility in the handling of multiple plots in 3D to enable clear view of development cut offs. Key outcomes include the plot of EUR/Well vs Field UR, Cumulative probability vs NPV (mln $), Net pay (ft) vs Porosity, Fluid contact vs Productive area, etc. Clear cut offs linking subsurface outcomes to value indicators (NPV, IRR) are established. Decisions are made quicker and with clearer perspectives especially for exploration and new frontiers opportunities