新疆石油地质 ›› 2023, Vol. 44 ›› Issue (2): 184-194.doi: 10.7657/XJPG20230208

• 油藏工程 • 上一篇    下一篇

玛湖砾岩油藏水平井效益开发压裂关键参数优化

张景1(), 虎丹丹2, 覃建华1, 王英伟1, 唐慧莹2   

  1. 1.中国石油 新疆油田分公司 勘探开发研究院,新疆 克拉玛依 834000
    2.西南石油大学 油气藏地质及开发工程国家重点实验室,成都 610500
  • 收稿日期:2022-03-02 修回日期:2022-09-14 出版日期:2023-04-01 发布日期:2023-03-31
  • 作者简介:张景(1985-),男,湖北罗田人,高级工程师,非常规设计开发与研究,(Tel)0990-6879506(E-mail)zhangjin_xj@petrochina.com.cn
  • 基金资助:
    国家自然科学基金(51904257);四川省自然科学基金面上项目(2022NSFSC0186)

Optimization of Key Fracturing Parameters for Profitable Development of Horizontal Wells in Mahu Conglomerate Reservoirs

ZHANG Jing1(), HU Dandan2, QIN Jianhua1, WANG Yingwei1, TANG Huiying2   

  1. 1. Research Institute of Exploration and Development,Xinjiang Oilfield Company,PetroChina,Karamay,Xinjiang 834000,China
    2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Sichuan 610500,China
  • Received:2022-03-02 Revised:2022-09-14 Online:2023-04-01 Published:2023-03-31

摘要:

准噶尔盆地玛湖砾岩油藏从规模化开发向效益化转变的过程中,在考虑经济效益的前提下,合理选择压裂施工参数尤为重要。为实现玛湖砾岩油藏压裂施工关键参数优化,建立压裂裂缝扩展等效KGD裂缝扩展模型,实现快速估计裂缝形态,采用启发式粒子群算法,以收益率为目标函数,对玛湖砾岩油藏不同产层分别进行压裂施工规模、簇数和排量的组合优化。结果表明,随着迭代次数的增加,高成本开发方案最终收敛到综合开发效果最佳的组合优化方案,实现了玛131区块施工参数优化。

关键词: 准噶尔盆地, 玛湖砾岩油藏, 水平井压裂, 施工参数, 参数优化, 粒子群算法, 收益率, 效益开发

Abstract:

In the process of transforming the Mahu conglomerate reservoirs in the Junggar basin from large-scale development to profitable development,it is particularly important to select reasonable fracturing parameters under the premise of considering economic benefits. In order to realize the optimization of key fracturing parameters for the Mahu conglomerate reservoirs,an equivalent KGD fracture propagation model was established to realize the rapid estimation of fracture shape. By using the heuristic particle swarm optimization algorithm and taking the rate of return as the objective function,a combined optimization on fracturing scale, cluster number and displacement was carried out for pay zones in the Mahu conglomerate reservoirs. The optimization results show that with the increase of the iteration number,the high-cost development plan finally converges to a combined optimization plan with the best comprehensive development effect,thus enabling the optimization of fracturing parameters for Ma 131 block.

Key words: Junggar basin, Mahu conglomerate reservoir, horizontal well fracturing, fracturing parameter, optimization, particle swarm optimization algorithm, rate of return, profitable development

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