Intelligent Optimization of Integral Fracturing in Unconventional Reservoirs

doi:10.12388/j.issn.1673-2677.2024.04.005

Abstract

Abstract:

Integral fracturing is one of the key technologies for the cost-effective development of unconventional reservoirs，which delivers one-time well placement，one-time fracture placement and synchronized initiation of production through batch drilling and batch fracturing. Optimization of well and fracture spacing is of great significance to improve the performance of integral reservoir stimulation. In this work，a typical block of the Mahu conglomerate reservoir is taken as an example to establish a three-dimensional geological model through the geology-engineering-integrated Petrel platform using well logs，mud logs and fracturing treatment parameters. Based on CMG，a numerical reservoir simulator，and logarithmic mesh refinement method，a hydraulic fracturing model of a four-well platform is constructed for production forecasting. Using the particle swarm optimization （PSO） and differential evolution （DE） algorithms，the well spacing and the fracture spacing of the four-well platform are optimized with the well group productivity as the objective function，which realizes the seven-dimensional synchronized parameter optimization. The optimized well group productivity is about 16.3% higher than that of the actual case. The optimized four-well platform presents a longer stable production duration and slower production decline. The optimized hydraulic fracturing treatment is found with a larger affected zone，further promoting the improvement of oil productivity. The findings of this work provide the fundamental model and methodology for optimizing the integral fracturing scheme of unconventional reservoirs.

Key words:

"> unconventional reservoir；integral fracturing；reservoir simulation；integrated platform；fracture；intelligent fracturing

摘要：

整体压裂技术通过批钻批压实现一次布井、一次布缝和同步投产，是非常规油气藏获得效益开发的关键技术之一。井距、缝距匹配性优化对提高储层整体改造效果具有重要意义。针对玛湖砾岩储层一典型区块，利用测、录井数据和压裂施工参数，通过地质工程一体化Petrel平台建立了三维地质模型；基于CMG油藏数值模拟器和局部对数网格加密法建立了非均质精细化四井平台水力压裂产能预测模型；结合粒子群算法和差分进化算法，以井组产能为目标函数优化了四井平台的井间距和缝间距，实现了七维参数同步优化。优化后的井组产能比现场实际生产数据提高16.3%；四井平台单井的稳产周期更长，产量递减速度更慢；孔隙压力场波及范围更大，进一步促进了油井产能的提高。研究成果为非常规油气藏整体压裂方案优化奠定了模型与方法基础。

关键词:

非常规储层, 整体压裂, 油藏模拟, 一体化平台, 裂缝, 智能压裂

CLC Number:

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ZHANG Li , WANG Bo , LYU Zhenhu , LYU Bei , LI Lizhe , ZHOU Hang. Intelligent Optimization of Integral Fracturing in Unconventional Reservoirs[J]. Xinjiang Oil & Gas, 2024, 20(4): 36-43.

张荔, 王博, 吕振虎, 吕蓓, 李丽哲, 周航. 非常规储层整体压裂智能优化[J]. 新疆石油天然气, 2024, 20(4): 36-43.

References

［1］周德华，戴城，方思冬，等. 基于嵌入式离散裂缝模型的页岩气水平井立体开发优化设计［J］. 油气地质与采收率，2022，29（3）：113-120.ZHOU D H，DAI C，FANG S D，et al. Optimization of 3D development in shale gas horizontal wells based on embedded discrete fracture model［J］. Petroleum Geology and Recovery Efficiency，2022，29（3）：113-120.

［2］毛英雄. 特低渗透油藏水平井整体压裂裂缝参数优化［J］. 长江大学学报：自然科学版，2019，16（3）：43-47.MAO Y X. Optimization of overall fracturing fracture parameters for horizontal wells in ultra-low permeability reservoir［J］. Journal of Yangtze University （Natural Science Edition），2019，16（3）：43-47.

［3］刘雪薇. 昌吉致密油储层水平井体积压裂工艺参数优化及效果评价［D］. 山东青岛：中国石油大学（华东），2023.LIU X W. Optimization of process parameters and evaluation of volumetric fracturing of horizontal wells in Changji tight oil reservoir［D］. Qingdao，Shandong：China University of Petroleum （East China），2023.

［4］车明光，王萌，王永辉，等. 威远页岩气水平井压裂参数优化［J］. 西安石油大学学报：自然科学版，2022，37（2）：53-58.CHE M G，WANG M，WANG Y H，et al. Optimization of fracturing parameters for Weiyuan shale gas horizontal wells［J］. Journal of Xi'an Shiyou University （Natural Science Edition），2022，37（2）：53-58.

［5］蒋宝云，周玉龙，陈莉，等. 滨425区块非均质油藏压裂裂缝参数优化［J］. 科学技术与工程，2021，21（22）：9322-9329.JIANG B Y，ZHOU Y L，CHEN L，et al. Optimization of fracture parameters for heterogeneous reservoirs in B425 block［J］. Science Technology and Engineering，2021，21（22）：9322-9329.

［6］XU S Q，FENG Q H，WANG S，et al. Optimization of multistage fractured horizontal well in tight oil based on embedded discrete fracture model［J］. Computers & Chemical Engineering，2018，117：291-308.

［7］WANG L Z，SUN A Y. Well spacing optimization for Permian Basin based on integrated hydraulic fracturing，reservoir simulation and machine learning study［C］. Unconventional Resources Technology Conference，URTEC，2020.

［8］WU K，OLSON J E. Mechanisms of simultaneous hydraulic-fracture propagation from multiple perforation clusters in horizontal wells［J］. SPE Journal，2016，21（3）：1000-1008.

［9］LIANG B S，DU M L，YANEZ P P. Subsurface well spacing optimization in the Permian Basin［J］. Journal of Petroleum Science and Engineering，2019，174：235-243.

［10］CHAI Z，NWACHUKWU A，ZAGAY-EVSKIY Y，et al. An integrated closed-loop solution to assisted history matching and field optimization with machine learning techniques［J］. Journal of Petroleum Science and Engineering，2021，198：108204.

［11］潘元，王永辉，车明光，等. 基于灰色关联投影随机森林算法的水平井压后产能预测及压裂参数优化［J］. 西安石油大学学报：自然科学版，2021，36（5）：71-76.PAN Y，WANG Y H，CHE M G，et al. Prediction of post-fracturing productivity and optimization of fracturing parameters for horizontal wells based on grey correlation projection random forest algorithm［J］. Journal of Xi'an Shiyou University （Natural Science Edition），2021，36（5）：71-76.

［12］JIANG J M，YOUNIS R M. Hybrid coupled discrete-fracture/matrix and multicontinuum models for unconventional-reservoir simulation［J］. SPE Journal，2016，21（3）：1009-1027.

［13］WANG B，FANG Y，LI L Z，et al. Automatic optimization of multi-well multi-stage fracturing treatments combining geomechanical simulation，reservoir simulation and intelligent algorithm［J］. ProcesseS，2023，11（6）：1759.

［14］WANG L，YAO Y D，WANG K J，et al. Data-driven multi-objective optimization design method for shale gas fracturing parameters［J］. Journal of Natural Gas Science and Engineering，2022，99：104420.

［15］孟磊峰，屈刚，曾从良，等. 玛湖致密油藏水平井双井同步压裂技术［J］. 石油钻采工艺，2022，44（6）：746-751.MENG L F，QU G，ZENG C L，et al. Dual-well simultaneous fracturing technology for horizontal wells of Mahu tight oil reservoir［J］. Oil Drilling & Production Technology，2022，44（6）：746-751.

［16］杨勇，王建，王瑞，等. 胜利断块油藏分类探讨及提高采收率对策［J］. 西安石油大学学报：自然科学版，2018，33（4）：61-65.YANG Y，WANG J，WANG R，et al. Classification of fault block reservoirs in Shengli Oilfield and countermeasures for EOR［J］. Journal of Xi'an Shiyou University （Natural Science Edition），2018，33（4）：61-65.

［17］肖佳林，李奎东，高东伟，等. 涪陵焦石坝区块水平井组拉链压裂实践与认识［J］. 中国石油勘探，2018，23（2）：51-58.XIAO J L，LI K D，GAO D W，et al. Practice and recognition on zipper fracturing of horizontal well group in Jiaoshiba Block，Fuling［J］. China Petroleum Exploration，2018，23（2）：51-58.

［18］何雅雯. 基于机器学习的压裂水平井产能优化［D］. 陕西西安：西安石油大学，2022.HE Y W. Optimization of fractured horizontal well productivity based on machine learning［D］. Xi'an，Shannxi：Xi'an Shiyou University，2022.

［19］刘明明，王全，马收，等. 基于混合粒子群算法的煤层气井位优化方法［J］. 岩性油气藏，2020，32（6）：164-171.LIU M M，WANG Q，MA S，et al. Well placement optimization of coalbed methane based on hybrid particle swarm optimization algorithm［J］. Lithologic ReservoirS，2020，32（6）：164-171.

［20］王大为，吴婷婷，高振南，等. 压裂水平井水平段长度及裂缝参数优化［J］. 新疆石油天然气，2021，17（2）：59-63.WANG D W，WU T T，GAO Z N，et al. Optimization of horizontal section length and fracture parameters for fractured horizontal wells［J］. Xinjiang Oil & GaS，2021，17（2）：59-63.

［21］张衍君，徐树参，刘娅菲，等. 吉木萨尔页岩油压裂开发压后闷井时间优化［J］. 新疆石油天然气，2023，19（1）：1-7.ZHANG Y J，XU S S，LIU Y F，et al. Optimization of well shut-in time after fracturing in Jimusar shale oil reservoirs［J］. Xinjiang Oil & GaS，2023，19（1）：1-7.

［22］PARK J，JANOVA C. Stimulated reservoir volume characterization and optimum lateral well spacing study of two-well pad：Midland Basin case study［J］. GeofluidS，2020：1-18.

［23］郜益华，张迎春，杨宝泉，等. 复杂断块油田跨断层水平井产能预测及分段长度优化方法——以西非A深水油田为例［J］. 石油学报，2021，42（7）：948-961.GAO Y H，ZHANG Y C，YANG B Q，et al. Productivity prediction and optimization method of segment length for cross-fault horizontal wells in complex fault-block oilfield：A case study of the deepwater oilfield in West Africa［J］. Acta Petrolei Sinica，2021，42（7）：948-961.

［24］万涛，覃建华，张景. 致密油藏小井距开发交替压裂实践［J］. 新疆石油天然气，2022，18（4）：26-32.WAN T，QIN J H，ZHANG J. Practices of zipper fracturing for tight reservoir development with small well spacing［J］. Xinjiang Oil & GaS，2022，18（4）：26-32.

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