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基于渗透率合成技术的砂岩油藏产能预测方法

王清辉 朱明 冯进 管耀 侯博恒

王清辉, 朱明, 冯进, 管耀, 侯博恒. 基于渗透率合成技术的砂岩油藏产能预测方法[J]. 石油钻探技术, 2021, 49(6): 105-112. doi: 10.11911/syztjs.2021122
引用本文: 王清辉, 朱明, 冯进, 管耀, 侯博恒. 基于渗透率合成技术的砂岩油藏产能预测方法[J]. 石油钻探技术, 2021, 49(6): 105-112. doi: 10.11911/syztjs.2021122
WANG Qinghui, ZHU Ming, FENG Jin, GUAN Yao, HOU Boheng. A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology[J]. Petroleum Drilling Techniques, 2021, 49(6): 105-112. doi: 10.11911/syztjs.2021122
Citation: WANG Qinghui, ZHU Ming, FENG Jin, GUAN Yao, HOU Boheng. A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology[J]. Petroleum Drilling Techniques, 2021, 49(6): 105-112. doi: 10.11911/syztjs.2021122

基于渗透率合成技术的砂岩油藏产能预测方法

doi: 10.11911/syztjs.2021122
基金项目: 国家科技重大专项“南海东部海域勘探新领域及关键技术”(编号:2016ZX05024-004)资助
详细信息
    作者简介:

    王清辉(1986—),男,湖北咸宁人,2010年毕业于长江大学地球探测与信息技术专业,2013年获中国石油大学(北京)地球探测与信息技术专业硕士学位,测井工程师,主要从事珠江口盆地(东部)地区测井储层评价研究。E-mail:wangqh24@cnooc.com.cn

  • 中图分类号: TE32+8

A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology

  • 摘要: 利用常规测井资料准确计算钻杆地层测试(DST)渗透率,能够大幅提高海上非均质砂岩油藏产能预测精度。为此,综合考虑惠州凹陷宏观沉积成岩作用和微观孔隙结构对储层渗透率的影响,建立了不同类型储层绝对渗透率的测井解释模型。正演分析表明,射孔层段不同渗透率级差的储层对产能的贡献明显不同;对不同级别储层渗透率进行加权求和得到合成测井渗透率,并对权系数大小进行约束,突出优势储层对产能的贡献,建立了DST渗透率的回归拟合方程;采用差分进化算法进行迭代,得到DST渗透率计算方程的最优解。采用该方法对惠州凹陷72个油层产能进行预测,48个油层的产能大于100 m3/d,预测相对误差小于30%的油层占比90%;24个油层的产能为10~100 m3/d,相对误差小于50%的油层占比79%。研究结果表明,基于渗透率合成技术的砂岩油藏产能预测方法,能够为海上油田测试作业决策提供指导,降低勘探作业成本。

     

  • 图 1  惠州凹陷米采油指数与DST渗透率和测井平均渗透率交会图

    Figure 1.  Cross plot of productivity index per meter with DST permeability and average logging permeability of Huizhou Sag

    图 2  惠州凹陷射孔方式与表皮系数分布直方图

    Figure 2.  Histogram of perforation method and skin coefficient distribution in Huizhou Sag

    图 3  不同渗透率级差下的储层产能正演模拟成果

    Figure 3.  Forward modeling results of reservoir productivity with different permeability contrast

    图 4  惠州凹陷测井平均渗透率和合成测井渗透率与DST渗透率交会图

    Figure 4.  Cross plot of average and synthetic logging permeability with DST permeability of Huizhou Sag

    图 5  惠州凹陷油藏产能预测结果误差分析

    Figure 5.  Error analysis of reservoir productivity prediction results for Huizhou Sag

    图 6  惠州凹陷A井珠海组M层产能预测结果

    Figure 6.  Productivity prediction results of Layer M of Zhuhai Formation in Well A in Huizhou Sag

    表  1  惠州凹陷不同油藏类型的供油半径计算模型

    Table  1.   Calculation models of oil supply radius for different reservoir types in Huizhou Sag

    油藏类型供油半径计算模型相关系数
    油藏内部发育断层$ {r_{\text{e}}}{\text{ = 29}}{\text{.883}} \left(\dfrac{{{K_{{\text{DST}}}}}}{\mu }\right){^{0.499\;2}} $0.975 9
    边水驱动油藏${r_{\text{e}}}{\text{ = 41}}{\text{.321}} \left(\dfrac{{{K_{{\text{DST}}}}}}{\mu }\right){^{0.443\;8}} $0.927 7
    底水驱动油藏$ {r_{\text{e}}}{\text{ = 4}}{{.629\;9}}\left(\dfrac{{{K_{{\text{DST}}}}}}{\mu }\right){^{0.706\;3}} $0.853 9
    下载: 导出CSV

    表  2  惠州凹陷不同储层类型的孔、渗模型和Fisher识别结果

    Table  2.   Porosity and permeability models and Fisher identification results of different reservoir types in Huizhou Sag

    储层类型岩性沉积微相渗透率计算模型相关系数Fisher识别结果
    符合不符合
    PF1中、粗砂岩,含砾砂岩辫状分流河道、滩砂水道和沿岸坝$K = 2.473\;6{{\rm{e}}^{0.309\;6\phi }}$0.82605
    PF2中—细砂岩分流河道、河口坝和风暴席状砂$K = 0.411{{\rm{e}}^{0.335\;1\phi }}$0.91210 11
    PF3钙质中—细砂岩潮汐水道、远砂坝$K = 0.000\;06{{\rm{e}}^{0.636\;2\phi }}$0.83280
    PF4细砂岩、粉砂岩远砂坝$K = {10^{ - 9.045}}{\phi ^{8.402}}$0.84398
    PF5泥质粉砂岩分流河道间湾、远砂坝$K = 0.004\;7{{\rm{e}}^{0.403\;7\phi }}$0.79164
    下载: 导出CSV

    表  3  惠州凹陷储层分级标准

    Table  3.   Reservoir classification standard of Huizhou Sag

    储层
    级别
    孔隙度,%渗透率/
    mD
    米采油指数/
    (m3·d−1·MPa−1·m−1
    产量分类
    Ⅰ级≥30.0≥2 00010.50~163.90高产
    Ⅱ级25.0~30.0500~2 0006.80~62.50高产
    Ⅲ级20.0~25.0200~5004.10~21.60中—高产
    Ⅳ级17.5~20.050~2000.92~11.25中—低产
    Ⅴ级15.0~17.520~500.87~3.65中—低产
    Ⅵ级12.0~15.05~200.47~1.78低产—少产
    Ⅶ级<12.0<50.02~0.54少产—无产
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-12-29
  • 修回日期:  2021-08-22
  • 网络出版日期:  2021-09-17
  • 刊出日期:  2021-11-25

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