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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Use of nonlinear chaos inversion in predicting deep thin lithologic hydrocarbon reservoirs: A case study from the Tazhong oil field of the Tarim Basin, China
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Use of nonlinear chaos inversion in predicting deep thin lithologic hydrocarbon reservoirs: A case study from the Tazhong oil field of the Tarim Basin, China

机译:非线性混沌反转预测深层薄型岩性碳氢化合物储层的应用 - 以塔姆盆地塔宏油田为例

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摘要

With the gradual disappearance of traditional structural reservoirs, widely distributed deep thin lithologic reservoirs developed in continental and transitional sedimentary environments may offer significant petroleum reserves. Reservoir characterization through conventional impedance inversion methods without appropriate selection of regularization parameters and other empirical constraints cannot easily detect and assess these reserves, however, due to their size, variation, and features that conceal them. We have evaluated a nonlinear chaos inversion method that uses well data and seismic facies to characterize the oil and gas reservoirs of the Tazhong oil field in the Tarim Basin, China. The inverted results exhibited high agreement with the well data in highlighting the interfaces and lithologic bodies. This integrated method also provided enhanced resolution of depositional contacts and variable lithologic bodies. Specifically, the approach was able to describe a highly variable, approximately 5 m thick Carboniferous formation at depths greater than 3400 m. Borehole and core data provided a complementary hydrocarbon accumulation model. We used background information on hydrocarbon-bearing units within the main structure (an anticline) to detect and access (drill) ultrathin lithologic reservoirs located in deeper areas of the structural high. Two wells drilled according to predictions derived from this new approach have each reached production rates of more than 30 tons of oil per day. Thus, we have determined the effectiveness of combining chaos inversion methods with empirical constraints in exploration of deep thin hydrocarbon reservoirs.
机译:随着传统结构储层的逐步消失,广泛分布在欧式和过渡沉积环境中开发的广泛分布的深层薄型储层可以提供大量的石油储备。 Reservoir characterization through conventional impedance inversion methods without appropriate selection of regularization parameters and other empirical constraints cannot easily detect and assess these reserves, however, due to their size, variation, and features that conceal them.我们已经评估了一种非线性混沌反转方法,该方法使用井数据和地震相,以塔里木盆地塔兹洞油田的石油和天然气储层。倒置结果与突出界面和岩性体体突出的井数据表现出高度协议。该集成方法还提供了增强的沉积接触和可变岩性体的分辨率。具体地,该方法能够描述高度变化,在大于3400μm的深度下大约5M厚的石炭生产。钻孔和核心数据提供了一种互补的碳氢化合物积累模型。我们在主结构(反对环)内的碳氢化合物单元上的背景信息用于检测和访问(钻头)超薄岩性储层,其位于结构高的深层区域。根据从这种新方法的预测钻出的两个井每天达到每天超过30吨油的生产率。因此,我们已经确定了混沌反转方法与深层稀烃储层勘探中的经验限制结合了混沌反转方法的有效性。

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    China Univ Petr Unconvent Nat Gas Res Inst State Key Lab Petr Resources &

    Prospecting Beijing Peoples R China;

    China Univ Petr CNPC Key Lab Geophys Explorat State Key Lab Petr Resources &

    Prospecting Beijing Peoples R China;

    CNPC Explorat &

    Dev Inst Tarim Oilfield Korla Peoples R China;

    China Univ Petr Unconvent Nat Gas Res Inst State Key Lab Petr Resources &

    Prospecting Beijing Peoples R China;

    China Univ Petr Unconvent Nat Gas Res Inst State Key Lab Petr Resources &

    Prospecting Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
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