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四川盆地海相深层页岩气储层预测与评价 ——以丁山地区为例
Prediction and evaluation on deeper marine shale-gas reservoirs, Dingshan area, Sichuan Basin
胡伟光 李发贵 范春华 周卓铸
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DOI:10.12055/gaskk.issn.1673-3177.2019.03.009
作者单位:中国石油化工股份有限公司勘探分公司勘探研究院
中文关键字:相干体 吸收衰减 各向异性分析 压力系数 早志留世 中深层页岩气 四川盆地
英文关键字:Coherence; Absorption decay; Anisotropic analysis; Pressure coefficient; Early Silurian; Middle to deep shale gas; Sichuan Basin
中文摘要:现今四川盆地海相页岩气勘探深度已经超过4 000 m,近期又在盆地东南缘丁山勘探区的中深层海相页岩气勘探中取得了重大突破,获得一批具有工业气流的页岩气井。但该区勘探实践表明,不同构造位置不同埋深的水平井产能差异较大,并与裂缝发育程度、页岩含气性及压力系数密切相关。因此通过对三维地震资料相干体处理分析、P 波各向异性分析及吸收衰减、泊松比、速度等属性计算,预测丁山勘探区不同埋深带的优质页岩层分布。结果表明:①相干体技术和P 波各向异性分析技术都能够识别出小型断裂及高角度裂缝发育密集带,识别断裂展布采用相干体技术更优,预测裂缝发育区采用P 波各向异性分析技术更为准确;②预测页岩气富集区域采用吸收衰减技术较为可靠,含气性高的页岩层明显具有低吸收衰减梯度值特征;③丁山地区适合采用BP 神经网络算法驱动多属性数据融合来计算压力系数。结论认为:丁山地区中深部页岩层具有较大的页岩气勘探潜力,西北部比东南部更有利于页岩气勘探开发。
英文摘要:In Sichuan Basin, an exploration depth of marine shale gas exceeds over 4000 m. Recently, great breakthrough has been made in middle to deep marine shale gas, Dingshan area, and a batch of shale-gas wells with industrial gas flow have been obtained. However, a plenty of exploration practices indicate that the productivity of horizontal wells with different buried depth in various structural positions varies greatly, and it's in close relationship with fracture growth, gas-bearing property, and pressure coefficient. So,
the distribution of shale reservoirs with high quality and different burial depth, Dingshan area, was predicted by means 3D seismic-data coherence processing, P-wave anisotropic analysis, and calculation of some attributes such as absorption decay, Poisson's ratio, and velocity. Results show that (1) many belts developed densely with small faults and high-angle fractures can be identified by virtue of coherence technology and P-wave anisotropic analysis. In which, coherence technology is more applicable to identify fault distribution whereas P-wave anisotropic analysis may provide higher accurate for predicting fracture growth belts; (2) it's more reliable for absorption decay technology to predict shale-gas accumulation belts, and shale reservoirs with stronger gas-bearing property have obvious characteristics of low gradient of absorption decay; and (3) multi-property data fusion driven by BP neural-network algorithm is adopted to calculate pressure coefficient. It's deemed that these middle to deep shale reservoirs in Dingshan area have greater exploration potential, and shale-gas exploration and development in northwestern area is more beneficial than that in southeastern area.
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国内统一连续出版物号:CN51-1159/TE |国内发行代码: |国际标准出版物号:ISSN1673-3177 |国际发行代码:
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