Journal of Petroleum Exploration and Production Technology最新文献

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Estimation of fracture half-length with fast Gaussian pressure transient and RTA methods: Wolfcamp shale formation case study 基于快速高斯压力瞬态和RTA方法的裂缝半长估计——以Wolfcamp页岩为例
4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-09-12 DOI: 10.1007/s13202-023-01694-3
Ahmed Farid Ibrahim, Ruud Weijermars
{"title":"Estimation of fracture half-length with fast Gaussian pressure transient and RTA methods: Wolfcamp shale formation case study","authors":"Ahmed Farid Ibrahim, Ruud Weijermars","doi":"10.1007/s13202-023-01694-3","DOIUrl":"https://doi.org/10.1007/s13202-023-01694-3","url":null,"abstract":"Abstract Accurate estimation of fracture half-lengths in shale gas and oil reservoirs is critical for optimizing stimulation design, evaluating production potential, monitoring reservoir performance, and making informed economic decisions. Assessing the dimensions of hydraulic fractures and the quality of well completions in shale gas and oil reservoirs typically involves techniques such as chemical tracers, microseismic fiber optics, and production logs, which can be time-consuming and costly. This study demonstrates an alternative approach to estimate fracture half-lengths using the Gaussian pressure transient (GPT) Method, which has recently emerged as a novel technique for quantifying pressure depletion around single wells, multiple wells, and hydraulic fractures. The GPT method is compared to the well-established rate transient analysis (RTA) method to evaluate its effectiveness in estimating fracture parameters. The study used production data from 11 wells at the hydraulic fracture test site 1 in the Midland Basin of West Texas from Upper and Middle Wolfcamp (WC) formations. The data included flow rates and pressure readings, and the fracture half-lengths of the 11 wells were individually estimated by matching the production data to historical records. The GPT method can calculate the fracture half-length from daily production data, given a certain formation permeability. Independently, the traditional RTA method was applied to separately estimate the fracture half-length. The results of the two methods (GPT and RTA) are within an acceptable, small error margin for all 5 of the Middle WC wells studied, and for 5 of the 6 Upper WC wells. The slight deviation in the case of the Upper WC well is due to the different production control and a longer time for the well to reach constant bottomhole pressure. The estimated stimulated surface area for the Middle and Upper WC wells was correlated to the injected proppant volume and the total fluid production. Applying RTA and GPT methods to the historic production data improves the fracture diagnostics accuracy by reducing the uncertainty in the estimation of fracture dimensions, for given formation permeability values of the stimulated rock volume.","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135878050","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
Coupled hydro-mechanical simulation in the carbonate reservoir of a giant oil field in southwest Iran 伊朗西南部某大油田碳酸盐岩储层流体-力学耦合模拟
4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-09-11 DOI: 10.1007/s13202-023-01695-2
Narges Saadatnia, Yousef Sharghi, Jamshid Moghadasi, Mohsen Ezati
{"title":"Coupled hydro-mechanical simulation in the carbonate reservoir of a giant oil field in southwest Iran","authors":"Narges Saadatnia, Yousef Sharghi, Jamshid Moghadasi, Mohsen Ezati","doi":"10.1007/s13202-023-01695-2","DOIUrl":"https://doi.org/10.1007/s13202-023-01695-2","url":null,"abstract":"Abstract The Asmari reservoir in southwest Iran has been producing oil continuously for over 50 years. However, due to an essential pressure decline, the reservoir is now a potential candidate for injection projects. The geomechanical analysis is essential for a successful injection operation to enhance reservoir production and address possible challenges. An accurate estimation of the injection pressure is necessary to maintain optimal conditions during the injection process and reduce possible risks. In this work, a coupled reservoir-geomechanical model, as well as rock mechanical tests, is performed to evaluate not only pressure variation and the associated in situ stress changes but also their potential influences on fault reactivation, reservoir–caprock stability, and surface displacement. For geomechanical evaluation, empirical correlations are derived between static and dynamic rock properties based on core data and existing petrophysical logs for the studied reservoir–caprock system. Based on the hydro-mechanical results, the maximum displacement is limited to the vicinity of the injection wells, where the highest pressure changes occur. The geomechanical analysis of the reservoir–caprock system shows that this system is stable until the injection pressure reaches 4.3× the initial reservoir pressure. Also, the injection pressure is not high enough to compromise the integrity of faults, indicating that the loading on the fault planes is too low to reactivate the pre-existing faults. The approach followed in this study can be applied to future field development strategies and feasibility considerations for CO 2 sequestration and underground gas storage projects.","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981535","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
Interactions between Ca(OH)2, imidazolium ionic liquid, and titanium oxide nanoparticles using resinous and asphaltenic synthetic oils under high-salinity conditions Ca(OH)2、咪唑离子液体和氧化钛纳米颗粒在高盐度条件下使用树脂和沥青质合成油的相互作用
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-09-08 DOI: 10.1007/s13202-023-01692-5
Reza Mehdipour, Seyed Salar Hosseini
{"title":"Interactions between Ca(OH)2, imidazolium ionic liquid, and titanium oxide nanoparticles using resinous and asphaltenic synthetic oils under high-salinity conditions","authors":"Reza Mehdipour, Seyed Salar Hosseini","doi":"10.1007/s13202-023-01692-5","DOIUrl":"https://doi.org/10.1007/s13202-023-01692-5","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"31 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87367723","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
A new approach for real-time prediction of stick–slip vibrations enhancement using model agnostic and supervised machine learning: a case study of Norwegian continental shelf 一种利用模型不可知和监督式机器学习实时预测粘滑振动增强的新方法:以挪威大陆架为例
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-30 DOI: 10.1007/s13202-023-01691-6
B. Elahifar, Erfan Hosseini
{"title":"A new approach for real-time prediction of stick–slip vibrations enhancement using model agnostic and supervised machine learning: a case study of Norwegian continental shelf","authors":"B. Elahifar, Erfan Hosseini","doi":"10.1007/s13202-023-01691-6","DOIUrl":"https://doi.org/10.1007/s13202-023-01691-6","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"30 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86899820","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
Quantitative evaluation of water-alternative-natural gas flooding in enhancing oil recovery of fractured tight cores by NMR 用核磁共振定量评价水替代天然气驱提高裂缝性致密岩心采收率
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-30 DOI: 10.1007/s13202-023-01693-4
Baishuo Liu, Chuanjin Yao, Yaqian Liu, Jia Zhao, Zhengdong Lei, Yiran Zhou, Yuyuan Song, Lei Li
{"title":"Quantitative evaluation of water-alternative-natural gas flooding in enhancing oil recovery of fractured tight cores by NMR","authors":"Baishuo Liu, Chuanjin Yao, Yaqian Liu, Jia Zhao, Zhengdong Lei, Yiran Zhou, Yuyuan Song, Lei Li","doi":"10.1007/s13202-023-01693-4","DOIUrl":"https://doi.org/10.1007/s13202-023-01693-4","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"35 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86567372","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
Investigation on the synergistic effect of pH and pyridinium-based ionic liquid on the wettability alteration of dolomite rock and IFT of formation brine/alkaline crude oil at the presence and absence of SiO2 nanoparticles pH和吡啶基离子液体在存在和不存在SiO2纳米颗粒时对白云岩润湿性变化和地层盐水/碱性原油IFT的协同效应研究
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-29 DOI: 10.1007/s13202-023-01686-3
M. Pazhoohan, A. Hezave
{"title":"Investigation on the synergistic effect of pH and pyridinium-based ionic liquid on the wettability alteration of dolomite rock and IFT of formation brine/alkaline crude oil at the presence and absence of SiO2 nanoparticles","authors":"M. Pazhoohan, A. Hezave","doi":"10.1007/s13202-023-01686-3","DOIUrl":"https://doi.org/10.1007/s13202-023-01686-3","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"21 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86823952","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
Applied machine learning-based models for predicting the geomechanical parameters using logging data 应用基于机器学习的模型,利用测井数据预测地质力学参数
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-23 DOI: 10.1007/s13202-023-01687-2
Manouchehr Sanei, A. Ramezanzadeh, M. R. Delavar
{"title":"Applied machine learning-based models for predicting the geomechanical parameters using logging data","authors":"Manouchehr Sanei, A. Ramezanzadeh, M. R. Delavar","doi":"10.1007/s13202-023-01687-2","DOIUrl":"https://doi.org/10.1007/s13202-023-01687-2","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"99 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72994210","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: 1
Analysis of heavy metal accumulation and environmental indicators in fluids and drilling cuttings 流体和钻屑中重金属富集及环境指标分析
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-22 DOI: 10.1007/s13202-023-01690-7
Homan Bakhtiari, H. Amanipoor, S. Battaleb-Looie
{"title":"Analysis of heavy metal accumulation and environmental indicators in fluids and drilling cuttings","authors":"Homan Bakhtiari, H. Amanipoor, S. Battaleb-Looie","doi":"10.1007/s13202-023-01690-7","DOIUrl":"https://doi.org/10.1007/s13202-023-01690-7","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"93 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85144086","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
Correction: Drilling-vibration response characteristics of rocks based on Hilbert–Huang transform 修正:基于Hilbert-Huang变换的岩石钻振响应特性
4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-21 DOI: 10.1007/s13202-023-01689-0
Xinxin Fang, Hong Feng, Yunhong Wang, Xiao Liu, Xiaoyu Liu, Sihui Xu, Yanqiu Wang, Xiaowei Ni
{"title":"Correction: Drilling-vibration response characteristics of rocks based on Hilbert–Huang transform","authors":"Xinxin Fang, Hong Feng, Yunhong Wang, Xiao Liu, Xiaoyu Liu, Sihui Xu, Yanqiu Wang, Xiaowei Ni","doi":"10.1007/s13202-023-01689-0","DOIUrl":"https://doi.org/10.1007/s13202-023-01689-0","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135770393","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
Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study) 水力裂缝半长概率估计:高斯压力-暂态方法与传统速率暂态分析方法的验证(Wolfcamp案例研究)
IF 2.2 4区 工程技术
Journal of Petroleum Exploration and Production Technology Pub Date : 2023-08-18 DOI: 10.1007/s13202-023-01680-9
Dandi Alvayed, Mohammed Sofian Ali Khalid, M. Dafaalla, Ahmed Ali, A. Ibrahim, R. Weijermars
{"title":"Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study)","authors":"Dandi Alvayed, Mohammed Sofian Ali Khalid, M. Dafaalla, Ahmed Ali, A. Ibrahim, R. Weijermars","doi":"10.1007/s13202-023-01680-9","DOIUrl":"https://doi.org/10.1007/s13202-023-01680-9","url":null,"abstract":"","PeriodicalId":16723,"journal":{"name":"Journal of Petroleum Exploration and Production Technology","volume":"1 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76427119","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: 2
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