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- Title
页岩岩心样品分析数据对比及其影响因素分析.
- Authors
王 世 谦
- Abstract
Over the last decade, a large number of gas-shale cores have been acquired during the exploitation of the Lower Paleozoic Wufeng-Longmaxi shale gas in the Southern Sichuan Basin, and in the joint appraisal of shale gas blocks in cooperation with several overseas international petroleum companies. Therefore, huge quantities of shale core data about shale mineralogy, geochemistry, petrophysics and gas content have been accumulated and measured in different labs at home and abroad. By correlating the core data from the same piece of sample or from the samples in the same intervals, it is found that there are obvious disparity with the analysis results from different labs, between different analytical methods, even from different types of samples, different ways of sampling, and different parts of the same sample, which certainly has an affect on the objective understanding of shale reservoirs and the exploitation prospect in this study area. Based on the case studies of several data quality issues, some influencing factors causing the inconsistency of the shale core analysis results are discussed, such as sample types, sampling location, sampling methods and test facility. In order to reduce the impact of these factors, it is suggested that a systematic and standardized analysis procedure and robust methods for tight rock analysis from the shale core handling to standardized sampling and testing should be put forward in shale oil and gas industry. It is concluded that attention to quality issues related with shale core analysis must be paid. In addition to the scientific analysis quality assurance and quality control set up inside the laboratory, the external quality assessment and feedback from data users are also an important way for promoting and improving the quality of core analysis.
- Subjects
SHALE oils; SHALE gas industry; OIL shales; ROCK analysis; PETROLEUM companies; QUALITY control
- Publication
Natural Gas Industry, 2020, Vol 40, Issue 1, p160
- ISSN
1000-0976
- Publication type
Article
- DOI
10.3787/j.issn.1000-0976.2020.01.021