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海陆过渡相优质页岩测井识别: 以鄂尔多斯盆地大宁-吉县地区山2段为例
引用本文:史彪,吴丰,李树新,梁芸,习研平,代槿,石祥超,赵辉.海陆过渡相优质页岩测井识别: 以鄂尔多斯盆地大宁-吉县地区山2段为例[J].地质科技通报,2023,42(2):115-126.
作者姓名:史彪  吴丰  李树新  梁芸  习研平  代槿  石祥超  赵辉
作者单位:1a.西南石油大学地球科学与技术学院, 成都 610500
基金项目:中国石油-西南石油大学创新联合体科技合作项目2020CX030103四川省重点研发计划(重大科技专项)项目2020YFSY0039国家自然科学基金区域创新发展联合基金项目U20A20266
摘    要:鄂尔多斯盆地东南缘海陆过渡相地层矿物组成复杂,页岩与砂岩、煤等岩性频繁交互,岩性纵向变化快。由于常规测井曲线分辨率较低,且扩径现象普遍,导致海相页岩气评价中常用的岩性识别与优质页岩识别方法效果较差。首先利用反褶积技术提高自然伽马、无铀伽马和铀测井曲线分辨率,然后通过测井交会图组合图版分别识别海陆过渡相地层岩性和页岩岩相,进一步通过新提出的铀-自然电位曲线重叠法识别海陆过渡相优质页岩。结果表明:反褶积技术能有效提高自然伽马、无铀伽马和铀曲线分辨率,利用自然伽马-密度测井交会图识别海陆过渡相地层岩性效果较好;铀-无铀伽马交会图能进一步识别3种岩相页岩(钙质硅质页岩、硅质黏土质页岩和黏土质页岩);在海陆过渡相地层中,新提出的铀-自然电位重叠法比传统ΔlogR法识别优质页岩效果更好。本研究可为海陆过渡相页岩气储层测井评价提供理论支持,提高优质页岩识别准确率。 

关 键 词:鄂尔多斯盆地    海陆过渡相    页岩气    反褶积    测井    岩性识别    优质页岩
收稿时间:2022-01-03

Logging identification of high-quality shale of the marine-continent transitional facies: An example of the Shan 2 Member of the Daning-Jixian area in the Ordos Basin
Institution:1a.School of Geosciences and Technology, Southwest Petroleum University, Chengdu 610500, China1b.Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China2.PetroChina Coalbed Methane Co., Ltd., Beijing 100028, China3.Geological Research Institute of CNPC Xibu Drilling Engineering Company Limited, Karamay Xinjiang 834000, China4.CNPC Geological Exploration and Development Research Institute, Chengdu 610051, China
Abstract:On the southeastern margin of the Ordos Basin, the mineral composition of marine-continent transitional facies deposits is complex. The shale, sandstone, coal, and related lithofacies frequently interact, and the lithology changes rapidly in the vertical direction. Due to the low resolution of conventional logging method and borehole enlargement which is a common while drilling, the commonly used methods for identification of lithology including high-quality shale which is prevailing in marine shale gas evaluation are less effective for the study area. First, deconvolution technology was used to improve the resolution of natural gamma rays, gamma rays without uranium and uranium logging curves. Then, a log cross-plot was used to identify the lithology including shale of marine-continent transitional facies, and the uranium-spontaneous potential curve overlap method was proposed to identify high-quality shale from marine-continent transitional facies. The results show that the deconvolution method can effectively improve the vertical resolution of natural gamma rays, gamma rays without uranium and uranium logging curves. The cross-plot of natural gamma-density logging data has a better effect on identifying the lithology of the marine-continent transitional facies, and the cross-plot of uranium logging data and gamma ray data without uranium can further identify three types of shale lithofacies (calcareous siliceous shale, siliceous clay shale and clay shale). In the marine-continent transitional facies, the newly proposed uranium-spontanous potential overlap method is better than the traditional ΔlogR method inidentifying high-quality shale. This research can provide theoretical support for reservoir evaluation of marine-continent transitional shale gas and improve the accuracy of high-quality shale identification. 
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