Petroleum Chemistry最新文献

Evaluation of Petrophysical Properties of Mishrif, Rumiala, Ahmadi, and Mauddud Formations in Nasiriya Oil Field—Middle of Iraq 伊拉克中部纳西里耶油田 Mishrif、Rumiala、Ahmadi 和 Mauddud 地层的岩石物理特性评估

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-29 DOI: 10.1134/S0965544124050062

Hiba Tarq Jaleel, Ahmed S. Al-Banna

{"title":"Evaluation of Petrophysical Properties of Mishrif, Rumiala, Ahmadi, and Mauddud Formations in Nasiriya Oil Field—Middle of Iraq","authors":"Hiba Tarq Jaleel, Ahmed S. Al-Banna","doi":"10.1134/S0965544124050062","DOIUrl":"10.1134/S0965544124050062","url":null,"abstract":"Petrophysical parameters were assessed using comprehensive log data coming from two wells (Ns-2, Ns-4) located within the Mishrif, Rumaila, Ahmadi, and Mauddud formations within the Nasiriya oil field, Iraq. The logs were digitized using Techlog 2015 software, and environmental modifications were implemented to guarantee precise interpretations. The shale volume used to be determined using gamma ray (GR) logs, subsequently leading towards the calculation of the effectiveness porosity. Water saturation is used to be calculated alongside Archie's equation. The investigation indicated that the lithology regarding the Mishrif, Rumaila, Ahmadi, and Mauddud formations happens to be predominantly limestone, alongside calcite like the principal mineral within the matrix. All formations were found to contain water like the fluid type, except within favor regarding the Mishrif formation at the 2013–2046 m within Ns-2, and 2000–2060 m within Ns-4, where hydrocarbons were identified. The top strata for these depths comprise substantial shale alongside limited effective porosity, serving like cap rock at the depths from 2013 to 2016 m within Ns-2, and 2000 towards 2006 m within Ns-4.","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating the Petrophysical Properties Cutoff Values for Net Pay Determination: A Case Study of Khasib Formation, Southern Iraq 估算用于确定净付油层的岩石物理特性临界值：伊拉克南部 Khasib 地层案例研究

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-29 DOI: 10.1134/S0965544124050037

Alyaa M. Ali, Jassim M. Al-Said Naji, Mohammed A. Ahmed

{"title":"Estimating the Petrophysical Properties Cutoff Values for Net Pay Determination: A Case Study of Khasib Formation, Southern Iraq","authors":"Alyaa M. Ali, Jassim M. Al-Said Naji, Mohammed A. Ahmed","doi":"10.1134/S0965544124050037","DOIUrl":"10.1134/S0965544124050037","url":null,"abstract":"In order to calculate pay thickness and net/gross ratio, a set of limiting values (called cutoffs) for petrophysical parameters like permeability, shale volume, porosity, and water saturation should be defined. This paper thoroughly explains the most useful and applicable methods for calculating the cutoff values, outlining their advantages, disadvantages, and required input data. These techniques include the traditional Best fit line, Quadrant, Worthington, and Cumulative hydrocarbon methods. Khasib formation in Amara oil field is taken as a study object; the cutoff values are estimated according to the proposed methods. Considering the accuracy, the data available, and the limitations of each method. Khasib formation is divided into four units the reservoir units identified as KH2 and KH4, The cutoffs for the petrophysical properties were calculated for each reservoir unit. It was determined that the suitable cut-off value for permeability changes from one unit to another because of the different rock types that characterize each unit. The permeability cut-off for the KH2 unit is 0.01 and the estimated porosity cutoff value is 0.09. In contrast, for the KH4 unit, the permeability cut-off is taken as 0.1 and the porosity cutoff is estimated as 0.1. Furthermore, the calculated cutoffs of the shale volume and the water saturation are similar for the two reservoir units (KH2 and KH4) and equal to 10 and 60% respectively. Finally, the determined cutoffs can be applied and the net pay thickness and ratio of net/gross can be calculated for each unit in the objective formation.","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synthesis and Properties of a Low-Viscosity and Acid-Resistant Retarding Agent 低粘度耐酸缓凝剂的合成与特性

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-24 DOI: 10.1134/S0965544124060112

Haiyang Tian, Yunfeng Shi, Xiaoping Qin, Lunhuai Sheng, Zhenghao Yang, Jiapeng Zheng, Tong Peng, Qionglin Shi, Jiayu Duan, Shuangyan Feng

{"title":"Synthesis and Properties of a Low-Viscosity and Acid-Resistant Retarding Agent","authors":"Haiyang Tian, Yunfeng Shi, Xiaoping Qin, Lunhuai Sheng, Zhenghao Yang, Jiapeng Zheng, Tong Peng, Qionglin Shi, Jiayu Duan, Shuangyan Feng","doi":"10.1134/S0965544124060112","DOIUrl":"10.1134/S0965544124060112","url":null,"abstract":"In order to enhance the acid resistance and injection ability of retarded acid and to achieve a deep acidification, a low-viscosity acid-resistant retarding agent (LVAR) was synthesized via radical aqueous polymerization using 2-acrylamido-2-methyl-1-propanesulfonicacid (AMPS), [2-(methacryloyloxy)ethyl] trimethylammonium chloride (DMC), and N,N′-dimethyl hexadecyl allyl ammonium chloride (C16DMAAC) as monomers. The acid, temperature, and salt resistance of LVAR, as well as its retardation and compatibility characteristics were analyzed using viscometer, scanning electron microscope, and the acid rock dissolution experiment. The results showed that the viscosity of a 1.0% LVAR-retarded acid solution was only 4.5 mPa s, which represented a low-viscosity effect. After 4 h of incubation at high temperature (90°C), LVAR-retarded acid remained clear and transparent, and showed good acid resistance. The corrosion rate of 1.0% retarded acid solution at 35 and 95°C was 37.4 and 71.2%, respectively, indicating a good retardation performance. These findings may provide new insights for the study of low-viscosity and acid-resistant retarding agents.","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142518893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Hybrid Porous Materials for Obtaining and Storage of Gas Hydrates 设计用于获取和储存天然气水合物的混合多孔材料

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-24 DOI: 10.1134/S0965544124060057

Wenpeng Li, Tianduo Li, Dmitry Repin, Alexandra Kuchierskaya, Daria Sergeeva, Anton Semenov, Vladimir Vinokurov, Andrey Stoporev

引用次数: 0

Improving Productivity of Zubair Formation Using Matrix Acidizing 利用基质酸化提高祖拜尔油层的生产力

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16 DOI: 10.1134/S0965544124050190

Ameer Talib, Ihab Sami Hasan, Harith Falih Al-Khafaji, Qasim Abdulridha Khlati

{"title":"Improving Productivity of Zubair Formation Using Matrix Acidizing","authors":"Ameer Talib, Ihab Sami Hasan, Harith Falih Al-Khafaji, Qasim Abdulridha Khlati","doi":"10.1134/S0965544124050190","DOIUrl":"10.1134/S0965544124050190","url":null,"abstract":"Near-wellbore damage deteriorate oil production due to a reduction in permeability. Matrix acidizing may significantly enhance well performance by using a predefined mixture of acids concentration. After preparing core plugs (core sample cleaning), the petrographic inspection of thin sections has shown that all samples have quartz arenite rank which consists of 95% quartz mineral and little amount of clay minerals and calcite cement filling pores. The arithmetic average of measured porosity by using helium porosimeter was about 24.9%. Also, the geometric averaging permeability was 802 md measured by using core lab permeameter. Based on the technical criteria for selecting appropriate acids, HF (hydrofluoric acid) and HCl (hydrochloric acid) acids have been chosen to acidize core samples with concentrations of 3 and 12%, respectively. The high permeability of core plugs, besides mineralogical composition, is one of the reasons behind the percentages of acid concentrations of HF and HCl. Laboratory findings unequivocally demonstrate a substantial increase in oil recovery following core acidization, notably surpassing recovery rates achieved without acidization, especially in scenarios involving early water saturation. These findings underscore the significant potential of matrix acidizing as an effective strategy for mitigating near-wellbore damage and optimizing oil production in sandstone reservoirs.","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Permeability Prediction Using Different Methods in Carbonate Reservoir 使用不同方法预测碳酸盐岩储层的渗透率

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16 DOI: 10.1134/S0965544124060069

Ahmad A. Ramadhan, Fadhil S. Kadhim, Noor Al-Huda A. Mohammed, Adyanh K. Salman, Mariam A. Jabbar

引用次数: 0

Assessment of Geotechnical Properties of Al-Fatha Formation in Zurbatiyah Region Eastern Iraq 伊拉克东部祖尔巴提亚地区 Al-Fatha 地层岩土特性评估

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16 DOI: 10.1134/S0965544124060045

Farah A. Abdulhussein, Amjad I. Fadhil, Samar S. Hussein

{"title":"Assessment of Geotechnical Properties of Al-Fatha Formation in Zurbatiyah Region Eastern Iraq","authors":"Farah A. Abdulhussein, Amjad I. Fadhil, Samar S. Hussein","doi":"10.1134/S0965544124060045","DOIUrl":"10.1134/S0965544124060045","url":null,"abstract":" A series of experimental tests were carried out to study and assessment of the geotechnical properties of the Fatha formation rocks in the Zurbatiyah region in eastern Iraq, the physical and mechanical characteristics have been studied in the study area of two types of rocks are represented by gypsum and limestone rocks. The physical results and tests helped to explain the mechanical behavior of the rock specimens that were studied. Several destructive and non-destructive tests were conducted on rock samples collected from various zones. Uniaxial compressive strength, point load, and Brazilian tests were tested on 60 intact rock specimens. The results of uniaxial compressive strength show that the maximum value of the compressive strength of the gypsum specimens was 35.08 MPa, while the maximum value in limestone specimens, was 38.095 MPa. In the indirect point load test, the maximum point load strength index IS(50) was 2.810 and 6.428 MPa for gypsum and limestone rock specimens respectively. In the indirect Brazilian test, the maximum tensile strength (σt) values were 4.66 and 7.36 MPa for gypsum and limestone rock specimens respectively. A new correlation with a high value of the regression coefficient R2 is presented, linking the uniaxial compressive strength (UCS) versus the rebound number of the Schmidt hammer (N).","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fracture Pressure Prediction in Carbonate Reservoir Using Artificial Neural Networks 利用人工神经网络预测碳酸盐岩储层的压裂压力

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16 DOI: 10.1134/S0965544124050050

Ali Khaleel Faraj, Ameen K. Salih, Mohammed A. Ahmed, Farqad A. Hadi, Ali Nahi Abed Al-Hasnawi, Ali Faraj Zaidan

{"title":"Fracture Pressure Prediction in Carbonate Reservoir Using Artificial Neural Networks","authors":"Ali Khaleel Faraj, Ameen K. Salih, Mohammed A. Ahmed, Farqad A. Hadi, Ali Nahi Abed Al-Hasnawi, Ali Faraj Zaidan","doi":"10.1134/S0965544124050050","DOIUrl":"10.1134/S0965544124050050","url":null,"abstract":"Accurately estimating fracture pressure is a critical factor in the success of the oil field industry. Fracture pressure is used in various applications, including increasing production and injection processes, making it essential to determine precisely. This study aims to predict the fracture pressure for Iraqi oil field using artificial intelligence techniques, such studies are crucial in optimizing oil field production and minimizing risks. Artificial intelligence (AI) methodologies employed a dataset comprising approximately 13 000 data points for different logs parameters. The input layer is employing the input parameter (neutron, density, gamma ray, rock strength (UCS), true vertical depth (TVD), Young’s modulus (E), and Poisson ratio (v). The obtained results should be remarkable R2 of 0.86. The optimal approach entails utilizing readily available log data, including sonic logs compression and shear (DTC, DTS) commendable R-squared value of 0.84. Artificial neural networks (ANN) have the upper hand over empirical models, as they require important data, only surface drilling parameters, which are easily accessible and use it from any well. In addition, a new fracture pressure correlation depended on artificial neural networks (ANN) has been created, which can accurately predict fracture pressure. The findings of the study can provide valuable insights for the oil and gas industry in predicting fracture pressure accurately and efficiently.","PeriodicalId":725,"journal":{"name":"Petroleum Chemistry","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asphaltene Phase Behavior Modeling Using Peng-Robinson 78A-EOS for a Crude Oil Sample from Buzurgan Oil Field 使用彭-罗宾逊 78A-EOS 为布祖尔干油田的原油样本建立沥青质相行为模型

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16 DOI: 10.1134/S096554412405013X

Mohammed A. Ahmed, Jassim M. Al-Said Naji, Alyaa M. Ali, Ali Qasim Al-Khafaje

引用次数: 0

Geomechanical Characteristics and Wellbore Instability for Nahr Umr Oil Field Nahr Umr 油田的地质力学特征和井筒不稳定性

IF 1.3 4区工程技术

Petroleum Chemistry Pub Date : 2024-10-16

Ahmed K. Alhusseini, Sarah H. Hamzah

引用次数: 0