Improved Oil and Gas Recovery最新文献

{"title":"Sensitivity Calculation by Adjoint Method: An Application to Reservoir Simulation","authors":"","doi":"10.14800/iogr.429","DOIUrl":"https://doi.org/10.14800/iogr.429","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42520964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Study on the Fracture Interaction and the Predominant Frequency of the Induced Microseismic Signals During Hydraulic Fracturing","authors":"Z. He","doi":"10.14800/iogr.428","DOIUrl":"https://doi.org/10.14800/iogr.428","url":null,"abstract":"Hydraulic fracturing has been used as a successful well stimulation method for decades. The created hydraulic fractures interact with the pre-existing fractures in a naturally fractured reservoir. Microseismicity is induced during the treatments. Microseismic monitoring has been a routine service to determine the geometry of the hydraulic fractures for over a decade. However, studies on the source mechanisms, the signal characteristics and predominant frequencies are still very limited, and many related problems remain ambiguous. Most of the current hydraulic fracturing models are based on a quasi-static framework. However, activation of the natural fractures and microseismicity generation and radiation during hydraulic fracturing are dynamic processes. We apply our in-house dynamic finite element geomechanics code to investigate these problems. First, the slip distributions and the ruptures along the activated natural fractures in the models with different cohesion are studied. We find that some activated natural fractures could have a partial failure while some others could fail entirely. The ruptures could be either unilateral or bilateral and the speeds may vary. The natural fractures and the hydraulic fracture can interact with each other. Different patterns of microseismic signal could be induced by different sources Second, the effects of model parameters such as injection rate and Young’s modulus on the predominant frequency of the microseismic signals are investigated. We find that injection rate doesn’t affect the predominant frequencies much and a higher Young’s modulus could shift the predominant frequencies to the high side. Rupture patterns (i.e., directionality and speed) along the natural fractures could affect the spectrum of the induced microseismic signals. The spectrum could either have multiple predominant frequencies or be relatively flat over the investigated frequency range.","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46579364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Fracturing Treatment Design with an in-house Code, MFrac and FracPro","authors":"Shanshan Liu","doi":"10.14800/iogr.426","DOIUrl":"https://doi.org/10.14800/iogr.426","url":null,"abstract":"Hydraulic fracturing software is widely used in our industry nowadays for fracturing treatment design. Some of them are fracturing simulators that can actually mimic fracture growth while some kind is solely for treatment design. Although being different, they can provide reasonable ultimate fracture geometry and design procedure. This project aims to compare design results from three different fracturing software. Four case scenarios are studied, which involve sensitivity of consistency index of fracturing fluid, out-of-zone fluid loss multiplier, minimum horizontal stress and reservoir permeability. Each parameter is studied with individual software without interference. Results from this project can help users to understand how to cope with design changes when there is dramatic input change.","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46556201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incorporation of Homogenizer in Nanoemulsion Injection Scheme for Enhanced Oil Recovery","authors":"Uchenna Odi","doi":"10.14800/iogr.425","DOIUrl":"https://doi.org/10.14800/iogr.425","url":null,"abstract":"This work presents a theoretical approach of incorporating a homogenizer within a nanoemulsion injection scheme for enhanced oil recovery (EOR). Nanoemulsions are kinetically stable emulsions stabilized by surfactants with droplet sizes ranging from 20 to 500 nm and have the potential to deliver chemical agents depending on their application.  For EOR, nanoemulsions have the potential to be more effective than the often used microemulsion which are thermodynamically stable and thus may break due to the heterogeneous conditions inherent in oil and gas reservoirs.  There are two primary categories of nanoemulsion formulation which are high energy methods and low energy methods. High energy methods involve creating nanoemulsions using a high energy process such as high pressure homogenization.  These methods can be expensive due to the energy applied to the nanoemulsion formulation process. Low energy methods involve manipulating the chemistry of the oil and surfactant formulation and are thus low cost due to the low energy input. Current technology illustrates that nanoemulsion size control is relatively straightforward using high energy methods such as high pressure homogenization.  Injecting incompressible fluids into a reservoir requires substantial energy in the form of pumps.  Incorporating a homogenizer in the injection scheme gives an opportunity for the homogenizer to utilize the high energy inherent in the injection process.  This is illustrated using the mechanical energy balance that combines the potential, kinetic, friction, and homogenizer pressure drops inherent in the incorporation of a homogenizer in the injection of nanoemulsions.  Analysis shows the relative contributions of each of these pressure effects in the overall determination of the bottom hole injection pressure. Incorporating a homogenizer into a nanoemulsion EOR process would schematically give direct control over nanoemulsion size while conserving energy by using the high energy inherent in an EOR injection process.  This would be a novel direct approach of controlling the stability of nanoemulsions (by controlling the size) while not producing extra costs associated with high energy nanoemulsion creation methods.  The describe procedure illustrates how to design an injection performance curve that can schematically give control of nanoemulsion size.","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44286835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Well Production Real-Time Intelligent Monitoring Based On Convolutional Neural Network","authors":"Zhen Wang, X. Wang, W. Duan, F. Li, F. Chen","doi":"10.1007/978-981-10-7560-5_4","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_4","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-981-10-7560-5_4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48910164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Dynamic Monitoring Data to Calculate Remaining Oil Saturation","authors":"Lipin Yan","doi":"10.1007/978-981-10-7560-5_6","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_6","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51075711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface Pressure Data for Well-Test Analysis at a Joint Venture Gas Project in Sichuan","authors":"M. Vo, Yue Yu, Jian-jiang Lv, Jun-liang Zhang","doi":"10.1007/978-981-10-7560-5_169","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_169","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43195005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology and Application on Reservoir Architecture Characterization Based on Sandbodies Spatial Orientation","authors":"Zhixin Ma, Ji Zhang, Xue Wen, W. Wensheng, Bin Fu, Sun Weifeng, Fan Qianqian, Ya Li","doi":"10.1007/978-981-10-7560-5_26","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_26","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48376147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water Block Damage and Its Solutions for Tight Gas Reservoirs in Dabei-Keshen Area","authors":"Yun Jiang, Yang Shi, Liang Zhao, Xianyou Yang, Yue-xi Li, Yue Yu, G. Ying, Wang Meng","doi":"10.1007/978-981-10-7560-5_123","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_123","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47082920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Method For Estimating The Peak Gas Rate","authors":"Lei He, Yilin He, Fang Zhang, Feng Li, Liangrong You","doi":"10.1007/978-981-10-7560-5_65","DOIUrl":"https://doi.org/10.1007/978-981-10-7560-5_65","url":null,"abstract":"","PeriodicalId":52731,"journal":{"name":"Improved Oil and Gas Recovery","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-981-10-7560-5_65","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46531295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}