神狐海域天然气水合物智能拟合建模与开采研究
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作者单位:

1.吉林大学建设工程学院,吉林 长春130026;2.自然资源部复杂条件钻采技术重点实验室,吉林 长春 130026;3.中国石油长庆油田分公司第一采油厂,陕西 延安 716009

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中图分类号:

P634;P744.4

基金项目:

国家自然科学基金项目“高压低温水射流作用下海底天然气水合物储层破岩过程与机理研究”(编号:41672361);吉林省科技厅国际合作项目“海洋天然气水合物置换开采关键技术研究”(编号:20170414044GH);吉林省省校共建项目-新能源专项“油页岩地下原位开发利用示范工程”(编号:SXGJSF2017-5)


Study on intelligent fitting modeling and exploitation of natural gas hydrate in the Shenhu area
Author:
Affiliation:

1.College of Construction Engineering, Jilin University, Changchun Jilin 130026, China;2.Key Laboratory of Drilling and Exploitation Technology in Complex Conditions of Ministry of Natural Resources, Changchun Jilin 130026, China;3.Oil Production Plant No.1, Changqing Oilfield Company, Yanan Shaanxi, 716009, China

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    摘要:

    中国南海神狐海域水合物储层地质特征复杂,难以获取储层全部参数。本研究通过智能拟合手段,根据实际试采产气量拟合选择南海神狐海域作为目标区域,降压开采,结合垂直井网开采措施,提升开采效果,解决我国未来的能源紧缺问题。由于南海神狐海域水合物储层参数缺少数值模拟所需的精确值,通过历史拟合方法确定储层物性参数,并进行长期开采预测,为后续水合物开采实验做铺垫。

    Abstract:

    It is difficult to obtain all reservoir parameters due to complicate geological characteristics of the hydrate reservoir in the Shenhu area, South China Sea. In this study, by means of intelligent fitting, according to the actual gas yield in the trial production, the Shenhu Sea area in the South China Sea was selected as the target area, and depressurization mining was combined with vertical well network mining measures to improve the mining effect so as to solve the problem of energy shortage in China in the future. Due to the lack of precise values required for numerical simulation of hydrate reservoir parameters in the Shenhu area of the South China Sea, the reservoir physical property parameters were determined by the historical fitting method and long-term exploitation prediction was carried out to lay a foundation for subsequent hydrate exploitation experiments.

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引用本文

孟奕龙,陈晨,马英瑞,等.神狐海域天然气水合物智能拟合建模与开采研究[J].钻探工程,2021,48(S1):303-308.
MENY Yilong, CHEN Chen, MA Yingrui, et al. Study on intelligent fitting modeling and exploitation of natural gas hydrate in the Shenhu area[J]. Drilling Engineering, 2021,48(S1):303-308.

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  • 收稿日期:2021-05-28
  • 最后修改日期:2021-05-28
  • 录用日期:2021-07-22
  • 在线发布日期: 2021-12-06
  • 出版日期: 2021-09-01
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