Arabian Journal for Science and Engineering最新文献

{"title":"Comparative Analysis of Hybrid and Active Cooling Systems for Concentrated Photovoltaic Panels Using a 1-D Mathematical Model: A Distinctive Perspective","authors":"Engin Şimşek,&nbsp;Korhan Ökten","doi":"10.1007/s13369-024-09343-5","DOIUrl":"10.1007/s13369-024-09343-5","url":null,"abstract":"<div><p>An essential factor influencing photovoltaic (PV) panel performance is its operating temperature. Various active and passive cooling methods have been explored in the literature to mitigate the effects of high operating temperatures; however, recent research has shown a growing interest in hybrid cooling systems that combine both active and passive approaches. In this context, phase change material (PCM) serves as a passive cooling method, while fluid is employed as an active cooling medium. This study introduces a channel into the PV panel base through which fluid flows. Additionally, a PCM layer is placed at the bottom of the water channel to reduce the average temperature of the fluid, thus extracting more heat compared to direct contact with the PV panel. The proposed model is compared with traditional water-cooled PV panels using a parametric approach, with varying parameters including concentration ratio, environmental temperature, wind speed, mass flow rate of water in the channel, and inlet temperature. The study findings reveal that the proposed model leads to an increase in electricity production within the range of 1.4–7 kW, an improvement in PV efficiency between 1.6 and 3.8%.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 4","pages":"2891 - 2909"},"PeriodicalIF":2.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13369-024-09343-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Approximating M-matrix in Learning Directed Acyclic Graphs Using Methods Involve Semidefinite Matrix Constraints","authors":"Suliman Al-Homidan","doi":"10.1007/s13369-024-09492-7","DOIUrl":"10.1007/s13369-024-09492-7","url":null,"abstract":"<div><p>The task of deducing directed acyclic graphs from observational data has gained significant attention recently due to its broad applicability. Consequently, connecting the log-det characterization domain with the set of M-matrices defined over the cone of positive definite matrices has emerged as a crucial approach in this field. However, experimentally collected data often deviates from the expected positive semidefinite structure due to introduced noise, posing a challenge in maintaining its physical structure. In this paper, we address this challenge by proposing four methods to reconstruct the initial matrix while maintaining its physical structure. Leveraging advanced techniques, including sequential quadratic programming (SQP), we minimize the impact of noise, ensuring the recovery of the reconstructed matrix. We provide a rigorous proof of convergence for the SQP method, highlighting its effectiveness in achieving reliable reconstructions. Through comparative numerical analyses, we demonstrate the effectiveness of our methods in preserving the original structure of the initial matrix, even in the presence of noise.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 2","pages":"1329 - 1337"},"PeriodicalIF":2.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based Prediction of Pore Types in Carbonate Rocks Using Elastic Properties","authors":"Ammar J. Abdlmutalib,&nbsp;Abdallah Abdelkarim","doi":"10.1007/s13369-024-09451-2","DOIUrl":"10.1007/s13369-024-09451-2","url":null,"abstract":"<div><p>This paper explores the innovative application of machine learning and neural network algorithms to predict pore types in carbonate rocks using experimental acoustic properties under ambient pressure conditions. Carbonate reservoirs, crucial for hydrocarbon storage and extraction, present a challenge due to their complex pore structures influenced by diverse depositional environments and diagenetic processes. Traditional petrographic methods for identifying pore types, though accurate, are time-consuming and destructive. Recent approaches leverage log and core-measured compressional wave velocities and porosity, yet variability in data remains an issue. Addressing the challenge, this study distinguishes itself by employing high-resolution physical rock samples from the early Miocene dam formation, eastern province of Saudi Arabia. Through meticulous data preparation, feature engineering, and the evaluation of logistic regression, random forest classifier, gradient boosting classifier, and support vector classifier models, we have developed an advanced model capable of predicting pore types with significant accuracy. Our findings reveal that logistic regression achieves the highest accuracy (71%) among the models, effectively capturing the inherent patterns within our dataset. A detailed analysis using principal component analysis underscored the discriminative power of these models, particularly in identifying interparticle–intraparticle and moldic pore types. This study’s innovative approach, leveraging experimental measurements and machine learning techniques, offers a robust framework for accurately predicting pore types in carbonate rocks. While challenges such as data size and feature limitations persist, the potential implications of our findings for reservoir modeling and efficient hydrocarbon extraction are significant, providing a foundation for future research to build upon.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 1","pages":"403 - 418"},"PeriodicalIF":2.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum Chemical Prediction of Nonlinear Optical and Photovoltaic Properties in Linear and Bent Configurations of Carbazole/Borole Derivatives","authors":"Shamsa Bibi,&nbsp; Sameena,&nbsp;Shabbir Muhammad,&nbsp;Shafiq urRehman,&nbsp;Aijaz Rasool Chaudhry,&nbsp;Abdullah G. Al-Sehemi,&nbsp;Sajjad Hussain,&nbsp;Shamraiz Hussain Talib","doi":"10.1007/s13369-024-09235-8","DOIUrl":"10.1007/s13369-024-09235-8","url":null,"abstract":"<div><p>In this study, we conducted a comparative quantum computational investigation about carbazole/borole derivatives to understand how different configurations like linear and bent, and terminal groups can affect their linear and second hyperpolarizability properties. The goal was to compare the optical and NLO response properties, photovoltaic parameters and charge transfer properties of these linear/bent configurations. Among all the designed compounds the linear compounds exhibited larger linear isotropic and anisotropic polarizability and second hyperpolarizability amplitudes (<i>γ</i>) compared to the bent compounds. The highest values of isotropic polarizability of <b>Py-1L</b> and <b>Py-2L</b> are calculated to be 109.0 × 10^–24 esu and 103.9 × 10^–24 esu, respectively. Notably, linear configurations <b>Py-1L</b> and <b>Py-2L</b> achieved the <span>(leftlangle gamma rightrangle)</span> amplitudes as high as 840.1 × 10⁻³⁶ esu and 776.9 × 10⁻³⁶ esu. When compared to the prototype <i>para</i>-nitroaniline (<i>p</i>-NA) molecule, these amplitudes are found to be ~ 115 times and ~ 113 times larger than <i>p</i>-NA as calculated at the same level of theory. Moreover, TD-DFT calculations also revealed that linear configuration gave better NLO response due to their higher oscillator strengths, dipole moment changes between ground and excited states and lower transition energy values among all the designed compounds. Frontier molecular orbitals, molecular electrostatic potential map, electron density difference and natural bond orbitals analysis indicated that more efficient intramolecular charge transfer in linear configuration, leading to high NLO response than bent configuration. The highest light harvesting efficiencies have been exhibited by <b>Py-1L</b> and <b>Py-2L</b>, with values of 0.928 eV and 0.903 eV, respectively. Overall, the current systematic comparison of NLO polarizabilities and other electronic properties emphasized the importance of configuration-based designs for achieving high performance NLO response properties in the designed compounds.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 1","pages":"183 - 199"},"PeriodicalIF":2.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Turbulence Models in Predicting the Heat Transfer of Supercritical Carbon Dioxide","authors":"Abdullah Alasif,&nbsp;Osman Siddiqui,&nbsp;Andrea Pucciarelli,&nbsp;Afaque Shams","doi":"10.1007/s13369-024-09413-8","DOIUrl":"10.1007/s13369-024-09413-8","url":null,"abstract":"<div><p>Supercritical fluids are used as coolants in one of the Generation-IV reactors (i.e., supercritical water reactor) owing to their good diffusivity, low viscosity, and high specific heat. Additionally, these fluids exist at higher pressure and temperature which allows high thermal efficiency. Two heat transfer phenomena are related to supercritical fluids: heat transfer deterioration and enhancement. These phenomena made it difficult for Reynolds-averaged Navier–Stokes simulation (RANS)-based turbulence models to accurately predict the heat transfer. In this study, an assessment of RANS-based turbulence models is conducted for supercritical carbon dioxide under two different flow conditions (i.e., horizontal flow and natural circulation vertical flow). The two cases are simulated using current turbulence models (i.e., SST k-ω, k-ε, RNG k-ε) and a newly developed model based on the algebraic heat flux model (AHFM), hereafter called UniPi. It was found that for the horizontal flow case, the SST k-ω model captured the temperature difference induced by buoyancy between different regions of the wall, however, with poor accuracy in predicting wall temperatures. The RNG k-ε models captured the behavior of wall temperature across all regions with underestimated values. The enhanced wall treatment gives good predictions of wall temperatures compared to experimental data, but it underestimates the deterioration and recovery of heat transfer. In the natural circulation case, the recently developed model, which is based on AHFM, yielded better results compared to k-ε and the SST k-ω models. This is mainly because it explicitly considers the buoyancy production term and the turbulent heat flux.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 5","pages":"3395 - 3407"},"PeriodicalIF":2.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Machine Learning and Deep Learning Techniques for Corrosion and Cracks Detection in Nuclear Power Plants: A Review","authors":"Malik Al-Abed Allah,&nbsp;Ihsan ulhaq Toor,&nbsp;Afaque Shams,&nbsp;Osman K. Siddiqui","doi":"10.1007/s13369-024-09388-6","DOIUrl":"10.1007/s13369-024-09388-6","url":null,"abstract":"<div><p>This paper is focused on a comprehensive review related to the applications of machine learning (ML) and deep learning (DL) techniques for corrosion and crack detection in nuclear power plants (NPPs). NPPs require strict inspection and maintenance guidelines to ensure safety and efficiency, as the consequence of any such accident can be disastrous. Traditional methods of corrosion and crack detection often require substantial manual effort, even plant shutdown for inspection, and are limited in scalability. In recent years, ML and DL approaches have appeared as promising solutions to improve the accuracy and efficiency of corrosion and crack detection methods. The review begins by exploring the fundamental principles of ML and DL, providing insights into their adaptability for managing these challenges in NPPs. ML techniques such as support vector machines and decision trees (DT) as well as various DL architectures, including convolutional neural networks, recurrent neural networks, and autoencoders, are explored in the context of corrosion and crack detection. The paper highlights the dataset challenges related to NPPs, handling issues like imbalanced data, temporal dependencies, and multi-scale modeling. It focuses on case studies and research efforts utilizing ML techniques, highlighting notable advancements and potential breakthroughs in the field. Further, the challenges and future opportunities of integrating ML techniques into nuclear power plant inspection and maintenance are thoroughly scrutinized, underscoring the imperative need for standardized datasets, scalability, and model interpretability.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 5","pages":"3017 - 3045"},"PeriodicalIF":2.6,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combined Proppant and Acid Stimulation Method in Ultra-Low-Permeability Dolomite Reservoirs: Laboratory Investigation","authors":"Yuan Wang,&nbsp;Nianyin Li,&nbsp;Changjing Zhou,&nbsp;Yuanxiang Xiao,&nbsp;Hong Zhang,&nbsp;Chao Wang,&nbsp;Chen Jiang","doi":"10.1007/s13369-024-09325-7","DOIUrl":"10.1007/s13369-024-09325-7","url":null,"abstract":"<div><p>This study explores the viability and efficiency of employing a dual approach, combining proppant fracturing with acid fracturing, in ultra-low-permeability dolomite reservoirs. The damage of guar gum fracturing fluid and slick water fracturing fluid on rock permeability was assessed through high-pressure pulse permeability testing. The mechanical properties of rocks post-acid treatment were evaluated using gelled acid, and fracture conductivity under various stimulation methods was measured. The results reveal that both guar gum and slick water fracturing fluids induce minimal damage to reservoir permeability. Following 10 and 30 min of acid treatment, the Young's modulus of the rocks is decreased by 10.65% and 17.63%, respectively, enhancing the effectiveness of hydraulic fracturing. As closure pressure increases, the conductivity of acid-etched self-propped fractures decreases rapidly due to the highly non-uniform etching caused by the acid. The addition of proppants markedly enhances the conductivity retention of fractures. The particle size of proppants exerts a significant influence on fracture conductivity, with larger proppant sizes leading to enhanced conductivity. However, as closure stress escalates, the disparity in conductivity between fractures with varying proppant sizes diminishes. Fracture conductivity tests conducted under various stimulation methods reveal that introducing proppants before acid treatment yields the highest fracture conductivity. Delayed addition of acid prevents proppants from occupying the acid-etched channels, thus enhancing reservoir treatment effectiveness. This study holds significant importance for designing effective stimulation techniques tailored to ultra-low-permeability dolomite reservoirs.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"4869 - 4884"},"PeriodicalIF":2.6,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Particle Dune Height Prediction","authors":"Ashtiwi Bahri,&nbsp;Shabeeb Alajmei,&nbsp;Jennifer Miskimins","doi":"10.1007/s13369-024-09402-x","DOIUrl":"10.1007/s13369-024-09402-x","url":null,"abstract":"<div><p>Slickwater hydraulic fracturing treatments are considered one of the most effective stimulation technologies for unconventional reservoirs. However, achieving efficient proppant transport in slickwater fluid systems remains a significant challenge due to the low viscosities. A particular aspect of this challenge involves accurately estimating the height of settled proppant dunes within the created fractures. To address this issue, experimental studies were undertaken to measure the dune height of the settled proppant using two different slickwater-like fluid systems, water–sodium chloride solution to mimic increased density and water–glycerin solution to mimic increased viscosity. The measured heights of the settled proppant dune using these systems were further compared to calculated proppant dune height using previous published correlations. This comparison aimed to evaluate the accuracy and applicability of the existing correlations in predicting proppant dune height in a wider range of tested fluid systems and various proppant types. To acquire sufficient data for the comparison, a slot flow apparatus was designed and employed to conduct over 30 experiments. The fracture slot design consisted of a primary fracture along with three secondary fractures and two tertiary fractures, each characterized with a rough wall surface. Various parameters were systematically varied during the experiments, including proppant sizes, proppant densities, slurry rates, and proppant concentrations. These selected experimental conditions aimed to provide a robust dataset for the purpose of comparing and analyzing the effects of different factors on proppant dune height in the slot flow apparatus. The laboratory results show that for all tested proppants, water–glycerin solutions resulted in a lower equilibrium dune height compared to sodium chloride solutions. Additionally, the proppant particle size was found to have a significant impact on the equilibrium dune height inside the main fracture, smaller proppant created lower dune heights in comparison to larger proppant sizes. Additionally, the settled proppant reaches the equilibrium dune height more rapidly with the water–sodium chloride solution than the water–glycerin solution. Furthermore, the calculated equilibrium dune height indicated that the correlations can be reliably used to predict the equilibrium dune height, with minimal average percent difference compared to the measured dune heights.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"4853 - 4868"},"PeriodicalIF":2.6,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive Overview on the Present State and Evolution of Global Warming, Climate Change, Greenhouse Gasses and Renewable Energy","authors":"Mehmet Bilgili,&nbsp;Sergen Tumse,&nbsp;Sude Nar","doi":"10.1007/s13369-024-09390-y","DOIUrl":"10.1007/s13369-024-09390-y","url":null,"abstract":"<div><p>The impact of the climate and environmental problems experienced in the world with the Industrial Revolution has prominently begun to be felt today, and the consequences of climate change on the environment and public health have now become visible. The increase in greenhouse gas emissions resulting from human activities, which is the main cause of global climate change, caused the global surface temperature to be 1.1 °C higher between 2011 and 2020 compared to 1850–1900. In parallel with this global problem, the transition to clean energy has increased significantly with Russia's invasion of Ukraine, more aggressive energy and climate policies, technological developments, and increasing concerns about energy security. In this study, global climate change indicators, including land and sea surface air temperatures, sea level rise, sea ice extent, ocean heat content, surface humidity, and total column water vapor, are reviewed and updated in parallel with a comprehensive analysis of the progress in renewable energy. The results showed that if no measures are taken to reduce human-induced greenhouse gas emissions, the global average temperature will increase further in the coming years and the negative effects of other climate parameters will be felt even more. It has been emphasized that limiting human-induced global warming requires renewable and sustainable energy sources and net zero CO₂ emissions and that the simultaneous adoption of emission reduction and adaptation strategies will be the most effective economic and technical solution to the global warming problem.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"49 11","pages":"14503 - 14531"},"PeriodicalIF":2.6,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13369-024-09390-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141921598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensitivity Analysis of Hydraulic Fracturing Parameters for Optimum Horizontal Well Spacing in Tight Oil Reservoirs","authors":"Ahmed G. Helmy,&nbsp;Said K. Salem,&nbsp;Mohsen Elnoby","doi":"10.1007/s13369-024-09311-z","DOIUrl":"10.1007/s13369-024-09311-z","url":null,"abstract":"<div><p>Three-dimensional reservoir simulation models were developed to perform different simulation runs which aim to get an estimate for the optimal well productivity in such unconventional very low permeability reservoirs. It will take into consideration the limitations, uncertainties and capabilities of each parameter like matrix permeability, hydraulic fracturing spacing, half-length, height and conductivity to get an enhanced estimate of the optimal production ultimate recovery by using the uncertainty analysis. Hydraulic fracturing parameters with reservoir data were used to estimate the optimum well spacing distance between the horizontal wells in tight oil reservoirs. The estimated recovery factor and production forecasting using the reservoir simulation with its capabilities to get computational cases with different combinations will get the optimal well count with optimum economic evaluation. Different reservoir modeling scenarios were built with various arrangements of affecting factors. Characterizing hydraulic fracture parameters, such as fracture spacing, fracture height, fracture half-length and fracture conductivity, are studied by setting different ranges per parameter and results were investigated by comparing the oil production rate trends and total cumulative oil production after a ten-year lifetime. Sensitivity analysis was performed on the different hydraulic fracturing parameters by setting different ranges and setting the objective function to be the cumulative oil production. A complete statistical analysis for the results from the simulation runs using response surface analysis including Morris’s method and Sobol method which is a variance-based analysis was carried out. This study sensitivity analyses shed light on the long-term production behavior of tight oil reservoirs. The findings indicate that the most important parameters that influence the performance of such tight reservoirs are those related to fracture half-length and fracture height, fracture conductivity and matrix permeability. A general production trend analysis and comparisons are run for various well spacings with different numbers of wells per 100 acres (40.4687 ha). Because of their quick rates of decline, unconventional reservoirs typically favor high initial rates. Furthermore, drilling and fracturing procedures are expensive. As a result, it is crucial to quantify these fracture parameters using different data to optimize the fracture design for both single and many wells using economic analysis. The impact of the oil price and the other operational costs required for various instances will be considered in an economic evaluation based on a new well spacing optimization process. The net present value was calculated for several cases by changing the number of wells (2, 3, 4, 5, 6, 7 and 8 wells), and showed that the optimum well spacing is 300 feet (91.44 m) per 100 acres (40.4687 ha) for a tight oil reservoir.</p></div>","PeriodicalId":54354,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"50 7","pages":"4813 - 4832"},"PeriodicalIF":2.6,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13369-024-09311-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}