Acta Petrolei Sinica ›› 2023, Vol. 44 ›› Issue (8): 1356-1364,1381.DOI: 10.7623/syxb202308011

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Multi-measure simultaneous optimization method for multi-layer commingled producing wells

Cui Chuanzhi1,2, Sun Lianting1,2, Shan Gaojun3, Yang Yong4, Wu Yizhi4   

  1. 1. National Key Laboratory of Deep Oil and Gas, China University of Petroleum, Shandong Qingdao 266580, China;
    2. MOE Key Laboratory of Unconventional Oil & Gas Development, China University of Petroleum, Shandong Qingdao 266580, China;
    3. Research Institute of Exploration and Development, Daqing Oilfield Company Limited, Heilongjiang Daqing 163712, China;
    4. Research Institute of Exploration and Development, Sinopec Shengli Oilfield Company, Shandong Dongying 257015, China
  • Received:2022-02-21 Revised:2023-05-05 Online:2023-08-25 Published:2023-09-06

多层合采油井的多措施同步优化方法

崔传智1,2, 孙莲婷1,2, 单高军3, 杨勇4, 吴义志4   

  1. 1. 深层油气全国重点实验室(中国石油大学(华东)) 山东青岛 266580;
    2. 中国石油大学(华东)非常规油气开发教育部重点实验室 山东青岛 266580;
    3. 大庆油田有限责任公司勘探开发研究院 黑龙江大庆 163712;
    4. 中国石油化工股份有限公司胜利油田分公司勘探开发研究院 山东东营 257015
  • 通讯作者: 崔传智,男,1970年1月生,2005年获中国地质大学(北京)博士学位,现为中国石油大学(华东)石油工程学院教授,主要从事油气渗流理论与开发技术研究。
  • 作者简介:崔传智,男,1970年1月生,2005年获中国地质大学(北京)博士学位,现为中国石油大学(华东)石油工程学院教授,主要从事油气渗流理论与开发技术研究。Email:ccz2008@126.com
  • 基金资助:
    国家自然科学基金项目"致密油藏多段压裂水平井时空耦合流动模拟及参数优化方法"(No.51974343)、国家科技重大专项"高含水期多措施协同优化方法研究"(2016ZX05010-002-007)和中国石油化工股份有限公司科技部项目"东营凹陷页岩油立体开发优化设计关键技术"(P23026)资助。

Abstract: At present, the continental sedimentary water-flooding reservoirs in China are mostly developed by multi-layer co-injection and co-production technology. Due to the difference in physical properties of interlayer reservoirs, the interlayer producing degree varies greatly in the ultra-high water-cut period. The interlayer interference is usually mitigated by such measures as water plugging and fracturing. Since these measures can be implemented only for one layer in one operation, thus restricting the improvement degree and causing a high cost. Therefore, it is proposed to simultaneously complete the above measures in an oil well operation, so as to improve the measures implementation efficiency. Taking fracturing and water plugging for example, the paper establishes a dynamic prediction method of multi-measure simultaneous production for multi-layer commingled producing wells in the five-point well group; on this basis, a dynamic surrogate model-assisted optimization method is used to achieve the simultaneous, rapid optimization and matching of different layers, types and parameters of measures (fracture length and water plugging radius) of commingled producing wells. The simulation calculation and field application results show as follows. (1) The simultaneous implementation of fracturing and water plugging has a better effect than a single measure. (2) The dynamic surrogate model-assisted optimization algorithm that consists of coupled sampling method, surrogate model, acquisition function and auxiliary optimizer can improve the simultaneous optimization accuracy and efficiency of fracturing and water plugging in multi-layer reservoirs. (3) This paper is a case study of the Well X10-4-B343 in Xing-10 district of Daqing oilfield, where the simultaneous optimization of fracturing and water plugging has been carried out. Based on the optimization results, the cumulative oil is increased by 552.00 m3 a year after the optimization and implementation of both measures, thus achieving efficient reservoir exploitation.

Key words: high water cut period, fracturing and water plugging, productivity prediction, multi-measure simultaneous optimization, surrogate model

摘要: 目前中国陆相沉积水驱油藏多采用多层合注合采开发,受层间储层物性差异影响,进入特高含水期后层间动用程度差异大,通常采用堵水、压裂等措施减缓层间干扰。由于一次作业只对一个层采取措施,改善程度有限,费用成本较高,因此提出了在一次油井作业中同步完成对不同层位进行压裂、堵水等措施,提高措施效率。以压裂、堵水措施为例,建立了五点法井组中多层合采油井的多措施同步生产动态预测方法,并在此基础上采用动态代理模型辅助优化方法形成了多层合采油井的不同层位和措施类型、措施参数(压裂缝长、堵水半径等)的同步快速优化匹配。模拟计算与矿场应用结果表明:①压裂与堵水措施同步实施效果优于单一措施;②耦合抽样方法、代理模型、采集函数和辅助优化器4部分形成的动态代理模型辅助优化算法,能够提高多层合采油井压裂与堵水措施同步优化精度和效率;③以大庆油田杏十区X10-4-B343井为例进行压裂与堵水措施同步优化,基于优化结果矿场实施后一年后累积增油量为552.00 m3,取得了较好的开发效果。

关键词: 高含水期, 压裂与堵水, 产能预测, 多措施同步优化, 代理模型

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