陆相页岩储层薄片超分辨率增强方法

郭超; 赵谦平; 刘刚; 郝世彦; 高潮; 孙建博; 刘超; 陈奕奕

doi:10.11743/ogg20210517

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陆相页岩储层薄片超分辨率增强方法
Super-resolution imaging of thin sections for lacustrine shale reservoirs
2021年42卷第5期页码：1202-1209
收稿：2021-03-02，

纸质出版：2021-10-28
DOI： 10.11743/ogg20210517
稿件说明：

移动端阅览

郭超, 赵谦平, 刘刚, 等. 陆相页岩储层薄片超分辨率增强方法[J]. 石油与天然气地质, 2021,42(5):1202-1209. DOI： 10.11743/ogg20210517.

Chao Guo, Qianping Zhao, Gang Liu, et al. Super-resolution imaging of thin sections for lacustrine shale reservoirs[J]. Oil & Gas Geology, 2021, 42(5): 1202-1209. DOI： 10.11743/ogg20210517.

摘要

近年来页岩油气的勘探与开发在全世界领域都取得了很大进展。然而在储层的矿物组分以及孔喉分布等微观物性研究中，经常受困于页岩储层微观尺度的限制，使得传统岩石薄片研究难以满足页岩储层精细化分析的需要。为了能够从原始页岩薄片图像中挖掘出更多储层微观特征，解决传统薄片精细图像在分辨率方面存在的限制与不足的问题，通过引入超分辨率增强技术来提高薄片图像对页岩储层微观特性的描述能力。针对页岩储层特点开发了一套基于生成对抗网络的超分辨率模型，建立了对应的薄片图像损失函数。最后以鄂尔多斯盆地延长组陆相页岩气储层的实际资料作为测试对象，进一步定性、定量地验证并确认了该方法的可用性、准确性以及可靠性。

Abstract

Despite a great progress made in the exploration and development of shale gas and oil in recent years

the study on the pores

organic matter and mineral composition of shale reservoirs at a microscopic scale is still a challenge with thin section analysis for conventional reservoirs. In order to solve this problem

this study introduces a super-resolution technology to improve thin section image quality for revealing micro-characteristics of shale reservoirs. A set of super-resolution models are established based on generative adversarial networks and corresponding content loss functions are also set up for thin-section images. Application of the technology to the processing of actual data from lacustrine shale gas reservoirs in the Yanchang Formation in Ordos Basin has yielded positive results

demonstrating quantitatively and qualitatively its applicability

accuracy and reliability for unconventional reservoir assessment.

关键词

Keywords

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