页岩气藏多裂缝水平井数值模拟

V. Bartoletti, C. Coll
{"title":"页岩气藏多裂缝水平井数值模拟","authors":"V. Bartoletti, C. Coll","doi":"10.2118/190851-MS","DOIUrl":null,"url":null,"abstract":"\n One of today's challenges for shale reservoir developments is to increase the productivity per foot of drilled horizontal section while lowering the production cost to reduce the overall boe/$. Shale gas reservoirs are unconventional resources that need Multifractured Horizontal Wells (MFHW) to produce at commercial rates. Fracking methods have advanced dramatically in the last decade. Technologies are now capable of placing long MFHW with predefined fracs distance with large volumes of fluids injected causing intense formation fracturing. The final goal is to increase the well productivity per foot by increasing the size of the SRV (Stimulated Reservoir Volume) while reducing the cost of production.\n The objective of this paper is to study and compare the impact on recovery factor, productivity and well performance of different SRV geometries using a dual porosity dual permeability compositional model. This work examines three prolific US gas shale plays, Haynesville, Barnett and Marcellus, having different reservoir and fluid characteristics. Hydraulic fractures properties like half-length, width and density were studied alongside other reservoir properties (matrix and fracture permeability and porosity). These are considered amongst the key parameters influencing MFHW productivity and gas recovery. The chosen approach is a Cartesian grid to mimic the presence of large-scale permeable hydraulic fractures as main flow conduits and enhanced medium scale (equivalent to the grid size) natural fractures in MFHW that contribute to flow in stimulated areas. The method models matrix-fracture interactions, with property-selected refinement to simulate different SRVs geometries demonstrated by Whitson (2016) to be able to history match pressure behavior in shale gas reservoirs for the Haynesville and Marcellus.\n Numerical modeling of MFHW recovery factors, pressure and production profiles was done using a commercial simulator. Reservoir properties for analyzed shales were extracted from public data. Three different SRV models were studied to represent the enhanced medium scale fractures. The first model, matrix-hydraulic fractures system, is the simplest SRV modeled in this work, and is the base for a subsequent model obtained by adding an enhanced fracture stimulated SRV area around each large scale hydraulic fracture. The most complex SRV geometry modeled was created by adding an additional enhanced stimulated natural fracture area simulating the impact of hydraulic fractures in the medium scale natural fracture network (Whitson, 2016). Results show how relatively moderate increases in the enhanced stimulated SRV's volumes can have a large impact on cumulative gas production and recovery factor, demonstrating the importance of achieving successful large scale hydraulic fractures and/or stimulation of medium scale fractures between and around the major fractures. Changes in SRV geometry, caused by enhanced natural fractures due to hydraulic fracturing stimulation, demonstrated to also have a large impact on recovery factors. A sensitivity analysis was performed to study the impact that different reservoir properties including matrix permeability and fracking parameters (half-length and density) could have on cumulative production and recovery factor. Results can be used to help defining the best strategy to design hydraulic fracturing for different shale gas plays, optimizing the field development plan.\n This study can be extended to incorporate shale oil plays (Compositional models) and to investigate multiple wells interaction evaluating interferences between wells. This study provides a catalogue of typical cumulative production and pressure profile responses for three US shale gas plays with different characteristics and stimulation areas that can be used to aid practitioners in assessing the extent of the potential stimulated areas contacted by unit wells in modelled SRV's. In addition, sensitivity analysis provides information on key parameters to consider when estimating recovery factors ranges to use for estimating reserves and resources in shales with these characteristics.","PeriodicalId":339784,"journal":{"name":"Day 2 Tue, June 12, 2018","volume":"053 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Modelling of Multiple Fractured Horizontal Wells in Shale gas Reservoirs\",\"authors\":\"V. Bartoletti, C. Coll\",\"doi\":\"10.2118/190851-MS\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n One of today's challenges for shale reservoir developments is to increase the productivity per foot of drilled horizontal section while lowering the production cost to reduce the overall boe/$. Shale gas reservoirs are unconventional resources that need Multifractured Horizontal Wells (MFHW) to produce at commercial rates. Fracking methods have advanced dramatically in the last decade. Technologies are now capable of placing long MFHW with predefined fracs distance with large volumes of fluids injected causing intense formation fracturing. The final goal is to increase the well productivity per foot by increasing the size of the SRV (Stimulated Reservoir Volume) while reducing the cost of production.\\n The objective of this paper is to study and compare the impact on recovery factor, productivity and well performance of different SRV geometries using a dual porosity dual permeability compositional model. This work examines three prolific US gas shale plays, Haynesville, Barnett and Marcellus, having different reservoir and fluid characteristics. Hydraulic fractures properties like half-length, width and density were studied alongside other reservoir properties (matrix and fracture permeability and porosity). These are considered amongst the key parameters influencing MFHW productivity and gas recovery. The chosen approach is a Cartesian grid to mimic the presence of large-scale permeable hydraulic fractures as main flow conduits and enhanced medium scale (equivalent to the grid size) natural fractures in MFHW that contribute to flow in stimulated areas. The method models matrix-fracture interactions, with property-selected refinement to simulate different SRVs geometries demonstrated by Whitson (2016) to be able to history match pressure behavior in shale gas reservoirs for the Haynesville and Marcellus.\\n Numerical modeling of MFHW recovery factors, pressure and production profiles was done using a commercial simulator. Reservoir properties for analyzed shales were extracted from public data. Three different SRV models were studied to represent the enhanced medium scale fractures. The first model, matrix-hydraulic fractures system, is the simplest SRV modeled in this work, and is the base for a subsequent model obtained by adding an enhanced fracture stimulated SRV area around each large scale hydraulic fracture. The most complex SRV geometry modeled was created by adding an additional enhanced stimulated natural fracture area simulating the impact of hydraulic fractures in the medium scale natural fracture network (Whitson, 2016). Results show how relatively moderate increases in the enhanced stimulated SRV's volumes can have a large impact on cumulative gas production and recovery factor, demonstrating the importance of achieving successful large scale hydraulic fractures and/or stimulation of medium scale fractures between and around the major fractures. Changes in SRV geometry, caused by enhanced natural fractures due to hydraulic fracturing stimulation, demonstrated to also have a large impact on recovery factors. A sensitivity analysis was performed to study the impact that different reservoir properties including matrix permeability and fracking parameters (half-length and density) could have on cumulative production and recovery factor. Results can be used to help defining the best strategy to design hydraulic fracturing for different shale gas plays, optimizing the field development plan.\\n This study can be extended to incorporate shale oil plays (Compositional models) and to investigate multiple wells interaction evaluating interferences between wells. This study provides a catalogue of typical cumulative production and pressure profile responses for three US shale gas plays with different characteristics and stimulation areas that can be used to aid practitioners in assessing the extent of the potential stimulated areas contacted by unit wells in modelled SRV's. In addition, sensitivity analysis provides information on key parameters to consider when estimating recovery factors ranges to use for estimating reserves and resources in shales with these characteristics.\",\"PeriodicalId\":339784,\"journal\":{\"name\":\"Day 2 Tue, June 12, 2018\",\"volume\":\"053 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 2 Tue, June 12, 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/190851-MS\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, June 12, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/190851-MS","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目前,页岩油藏开发面临的挑战之一是提高水平段每英尺的产能,同时降低生产成本,以降低总油当量/美元的产量。页岩气藏是一种非常规资源,需要多级压裂水平井(MFHW)才能达到商业产量。水力压裂法在过去十年中取得了巨大的进步。现在的技术能够在预定的裂缝距离内放置长MFHW,注入大量流体导致强烈的地层压裂。最终目标是在降低生产成本的同时,通过增加SRV(增产储层体积)的尺寸来提高每英尺井的产能。本文的目的是利用双孔双渗组成模型,研究和比较不同SRV几何形状对采收率、产能和井眼性能的影响。这项工作考察了美国三个多产的页岩气区,Haynesville、Barnett和Marcellus,它们具有不同的储层和流体特征。研究了水力裂缝的半长、宽度和密度等特征,以及其他储层特征(基质、裂缝渗透率和孔隙度)。这些被认为是影响MFHW产能和采收率的关键参数之一。选择的方法是笛卡尔网格,以模拟MFHW中作为主要流动管道的大型渗透性水力裂缝和增强的中等规模(相当于网格大小)天然裂缝的存在,这些裂缝有助于刺激区域的流动。该方法对基质-裂缝相互作用进行建模,并对属性进行优化,以模拟Whitson(2016)证明的不同srv几何形状,从而能够匹配Haynesville和Marcellus页岩气藏的压力行为。利用商用模拟器对MFHW采收率、压力和产量曲线进行了数值模拟。分析页岩的储层属性是从公开数据中提取的。研究了三种不同的SRV模型来表示增强的中等规模裂缝。第一个模型是基质-水力裂缝系统,它是本研究中最简单的SRV模型,也是后续模型的基础,后续模型通过在每个大型水力裂缝周围增加裂缝刺激SRV面积而获得。最复杂的SRV几何模型是通过添加额外的增强天然裂缝区域来模拟中等规模天然裂缝网络中水力裂缝的影响而创建的(Whitson, 2016)。结果表明,增产SRV体积相对适度的增加对累积产气量和采收率有很大的影响,证明了成功实现大规模水力压裂和/或对主要裂缝之间和周围的中等规模裂缝进行增产的重要性。由于水力压裂增产导致天然裂缝增多,SRV的几何形状也发生了变化,这对采收率也有很大影响。通过敏感性分析,研究了基质渗透率、压裂参数(半长和密度)等不同储层性质对累积产量和采收率的影响。结果可用于帮助确定针对不同页岩气层的水力压裂设计最佳策略,优化油田开发计划。该研究可以扩展到页岩油区(成分模型),并研究多井相互作用,评估井间的干扰。该研究提供了具有不同特征和增产区域的三个美国页岩气藏的典型累积产量和压力剖面响应目录,可用于帮助从业者评估模拟SRV中单井所接触的潜在增产区域的范围。此外,敏感性分析提供了在估计采收率范围时需要考虑的关键参数信息,用于估计具有这些特征的页岩的储量和资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Modelling of Multiple Fractured Horizontal Wells in Shale gas Reservoirs
One of today's challenges for shale reservoir developments is to increase the productivity per foot of drilled horizontal section while lowering the production cost to reduce the overall boe/$. Shale gas reservoirs are unconventional resources that need Multifractured Horizontal Wells (MFHW) to produce at commercial rates. Fracking methods have advanced dramatically in the last decade. Technologies are now capable of placing long MFHW with predefined fracs distance with large volumes of fluids injected causing intense formation fracturing. The final goal is to increase the well productivity per foot by increasing the size of the SRV (Stimulated Reservoir Volume) while reducing the cost of production. The objective of this paper is to study and compare the impact on recovery factor, productivity and well performance of different SRV geometries using a dual porosity dual permeability compositional model. This work examines three prolific US gas shale plays, Haynesville, Barnett and Marcellus, having different reservoir and fluid characteristics. Hydraulic fractures properties like half-length, width and density were studied alongside other reservoir properties (matrix and fracture permeability and porosity). These are considered amongst the key parameters influencing MFHW productivity and gas recovery. The chosen approach is a Cartesian grid to mimic the presence of large-scale permeable hydraulic fractures as main flow conduits and enhanced medium scale (equivalent to the grid size) natural fractures in MFHW that contribute to flow in stimulated areas. The method models matrix-fracture interactions, with property-selected refinement to simulate different SRVs geometries demonstrated by Whitson (2016) to be able to history match pressure behavior in shale gas reservoirs for the Haynesville and Marcellus. Numerical modeling of MFHW recovery factors, pressure and production profiles was done using a commercial simulator. Reservoir properties for analyzed shales were extracted from public data. Three different SRV models were studied to represent the enhanced medium scale fractures. The first model, matrix-hydraulic fractures system, is the simplest SRV modeled in this work, and is the base for a subsequent model obtained by adding an enhanced fracture stimulated SRV area around each large scale hydraulic fracture. The most complex SRV geometry modeled was created by adding an additional enhanced stimulated natural fracture area simulating the impact of hydraulic fractures in the medium scale natural fracture network (Whitson, 2016). Results show how relatively moderate increases in the enhanced stimulated SRV's volumes can have a large impact on cumulative gas production and recovery factor, demonstrating the importance of achieving successful large scale hydraulic fractures and/or stimulation of medium scale fractures between and around the major fractures. Changes in SRV geometry, caused by enhanced natural fractures due to hydraulic fracturing stimulation, demonstrated to also have a large impact on recovery factors. A sensitivity analysis was performed to study the impact that different reservoir properties including matrix permeability and fracking parameters (half-length and density) could have on cumulative production and recovery factor. Results can be used to help defining the best strategy to design hydraulic fracturing for different shale gas plays, optimizing the field development plan. This study can be extended to incorporate shale oil plays (Compositional models) and to investigate multiple wells interaction evaluating interferences between wells. This study provides a catalogue of typical cumulative production and pressure profile responses for three US shale gas plays with different characteristics and stimulation areas that can be used to aid practitioners in assessing the extent of the potential stimulated areas contacted by unit wells in modelled SRV's. In addition, sensitivity analysis provides information on key parameters to consider when estimating recovery factors ranges to use for estimating reserves and resources in shales with these characteristics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信