ISSN 1004-4140
CN 11-3017/P

微重力技术在中深层气藏开发上应用:以新疆油田滴西121井区为例

胡宗芳, 胡清雄, 蔡贇, 张长瑞, 史全党, 徐桂红, 覃建强, 解远刚, 邓申申, 朱鹤文, 白雪

胡宗芳, 胡清雄, 蔡贇, 等. 微重力技术在中深层气藏开发上应用:以新疆油田滴西121井区为例[J]. CT理论与应用研究(中英文), 2025, 34(1): 99-109. DOI: 10.15953/j.ctta.2023.135.
引用本文: 胡宗芳, 胡清雄, 蔡贇, 等. 微重力技术在中深层气藏开发上应用:以新疆油田滴西121井区为例[J]. CT理论与应用研究(中英文), 2025, 34(1): 99-109. DOI: 10.15953/j.ctta.2023.135.
HU Z F, HU Q X, CAI Y, et al. Microgravity Monitoring Technology for Deep Gas-Reservoir Development based on Dixi 121 Wellblock in Xinjiang Oilfield[J]. CT Theory and Applications, 2025, 34(1): 99-109. DOI: 10.15953/j.ctta.2023.135. (in Chinese).
Citation: HU Z F, HU Q X, CAI Y, et al. Microgravity Monitoring Technology for Deep Gas-Reservoir Development based on Dixi 121 Wellblock in Xinjiang Oilfield[J]. CT Theory and Applications, 2025, 34(1): 99-109. DOI: 10.15953/j.ctta.2023.135. (in Chinese).

微重力技术在中深层气藏开发上应用:以新疆油田滴西121井区为例

详细信息
    作者简介:

    胡宗芳,女,学士,工程师,主要从事油气田物探方法研究,E-mail:huzf@petrochina.com.cn

    通讯作者:

    蔡贇✉,男,硕士,工程师,主要从事时移微重力、微重力反演问题等研究,E-mail:caiyun17@mails.ucas.ac.cn

  • 中图分类号: P 631

Microgravity Monitoring Technology for Deep Gas-Reservoir Development based on Dixi 121 Wellblock in Xinjiang Oilfield

  • 摘要:

    天然气富集差异会引起地下介质密度较大的变化,进而引起地表重力值的响应。微重力技术通过测量地表重力值来监测气藏开发区地下密度变化,从而推测气藏开发中的流体变化。微重力监测的重力异常分离提取对于精细刻画气藏开发层段的密度变化至关重要。优选深度递推法实现不同尺度重力场分离,提取得到可靠的剩余重力异常场,以新疆油田滴西121井区为例,结合钻探与生产动态数据,研究剩余微重力异常与储层特征的关系。本文将微重力技术应用于中深层储层的气藏开发,创新性地针对研究区地质情况建立砂地比正演模型,分析砂体厚度在剩余重力异常场中的响应情况。结果表明:微重力技术在中深层气藏开发中应用效果较好;气藏开发层段砂地比越高,剩余微重力异常越低,与正演认识相符,并与地震数据刻画的砂体分布规律一致。

    Abstract:

    The difference in natural-gas enrichment significantly affects the underground medium density and thus the surface gravity. Microgravity monitoring technology monitors the morphological changes of a gas-reservoir development zone by measuring the surface gravity to obtain the change information of gas-reservoir development. The separation and extraction of gravity anomalies in microgravity monitoring is necessitated to accurately characterize the changes in gas-reservoir development intervals. The depth recursive method is the preferred method for separating residual gravity anomalies of different scales and extract reliable residual gravity anomalies. Considering the Dixi 121 well area of Xinjiang oilfield as an example and using the dynamic data of oil and gas drilling and production, the relationship between residual microgravity anomalies and reservoir characteristics is investigated in this study. The application of microgravity technology to the development of gas reservoirs in the middle and deep reservoirs is achieved, and a sand-ground ratio forward model is innovatively established for the geological conditions of the study area to analyse the response of the sand thickness in the residual gravity anomaly field. The findings of the study indicate that microgravity technology is an efficient method for developing reservoirs of middle and deep reservoirs. the higher the sand-ground ratio of the reservoir section, the lower the residual microgravity anomaly, which is in accordance with forward modelling and the distribution law of the sand-body depicted by seismic data.

  • 图  1   含气地层重力异常特征示意图

    Figure  1.   Schematic diagram of gravity anomaly characteristics of gas-bearing strata

    图  2   深度递推法分离异常过程示意图

    Figure  2.   Schematic diagram of abnormal separation process via deep recurrence method

    图  3   模型正演结果

    Figure  3.   Model forward results

    图  4   多种方法异常分离结果

    Figure  4.   Multiple methods of obtaining abnormal separation results

    图  5   滴西121井区布格重力异常场等值线图与头屯河组顶面构造图

    Figure  5.   Contour map of Bouguer gravity anomaly field in Dixi 121 well area and structure map showing top surface of Toutunhe Formation

    图  6   高通滤波分离方法(a)和深度递推法(b)提取的目的层剩余重力异常等值线图

    Figure  6.   Contour map of residual gravity anomaly in target layer extracted using high-pass filter separation method (a) and depth recurrence method (b)

    图  7   砂体剩余密度模型正演示意图

    Figure  7.   Sand-body residual density model showing the intent

    图  8   砂地比与重力峰值曲线图

    Figure  8.   Sand ratio and peak gravity curve

    图  9   归一化后实际剩余重力异常与正演剩余重力异常对比图

    Figure  9.   Comparison between actual and forward residual gravity anomalies after normalization

    图  10   头屯河组砂体厚度图(a)与剩余重力异常场(b)对比图

    Figure  10.   Comparison of sand-thickness map (a) and residual gravity anomaly field (b) in Toutunhe Formation

    表  1   模型一正演模型参数

    Table  1   Model forward parameters

    直立长方体
    序号 
    长度
    /m
    宽度
    /m
    厚度
    /m
    顶面埋深/m 剩余密度/(g/cm3
    A1  50 50 50 100 0.85
    A2  50 50 50 50 0.85
    A3  50 50 50 100 0.85
    B   400 500 150 100 0.85
    下载: 导出CSV

    表  2   目标区地层厚度与砂地比统计表

    Table  2   Statistical table of formation thickness and sand ratio in target area

    井号 头屯河组
    地层厚度/m
    头屯河组
    砂厚/m
    头屯河组
    砂地比
    t1地层
    厚度/m
    t1砂厚
    /m
    t1
    地比
    t2地层
    厚度/m
    t2砂厚
    /m
    t2
    地比
    平均剩余密度
    /($ \mathit{g}/{{{\mathrm{c}}}{{\mathrm{m}}}}^{3} $)
    Well5 54.00 20.00 0.37 54.00 20.00 0.37 0.53
    Well4 52.00 18.00 0.35 52.00 18.00 0.35 / / 0.35
    Well2 58.00 18.00 0.31 58.00 18.00 0.31 / / / 0.58
    Well1 59.00 15.00 0.25 59.00 15.00 0.25 / / / 0.60
    Well3 57.70 13.00 0.23 57.70 13.00 0.23 / / / 0.62
    Well8 87.00 17.00 0.20 56.20 17.00 0.30 / / 0.55
    Well12 134.00 20.00 0.15 66.50 16.00 0.24 67.50 4.00 0.06 0.36
    Well10 170.00 19.00 0.11 50.00 3.00 0.06 120.00 16.00 0.13 0.61
    Well6 84.50 6.00 0.07 55.00 4.00 0.07 29.50 2.00 0.07 0.31
    下载: 导出CSV

    表  3   实际剩余重力异常与正演剩余重力异常归一化统计表

    Table  3   Normalized statistical table of actual and forward residual gravity anomalies

    井号 头屯河组砂地比 归一化前 归一化后
    实际段内平均剩余
    重力异常
    正演段内平均剩余
    重力异常
    实际段内平均剩余
    重力异常
    正演段内平均剩余
    重力异常
    Well5 0.37 −8.43 17.97 0.08 0.00
    Well4 0.35 −9.81 17.99 0.00 0.09
    Well2 0.31 −2.25 18.02 0.43 0.23
    Well1 0.25 −2.97 18.07 0.39 0.45
    Well3 0.23 3.79 18.10 0.78 0.56
    Well8 0.20 3.96 18.12 0.79 0.68
    Well12 0.15 2.84 18.17 0.73 0.86
    Well10 0.11 7.58 18.20 1.00 1.00
    下载: 导出CSV
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  • 收稿日期:  2023-07-03
  • 修回日期:  2024-04-19
  • 录用日期:  2024-05-14
  • 网络出版日期:  2024-07-04
  • 刊出日期:  2025-01-04

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