1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China 2 College of Geophysics and Information Engineering, China University of Petroleum-Beijing, Beijing 102249, China
The continental tight oil reservoirs in China have complex lithology, complicated pore structure and strong heterogeneity, etc. It is difficult to evaluate the “seven properties” i.e. lithology, reservoir quality, electrical properties, petroliferous properties, source rock properties, brittleness and in-situ stress anisotropy with conventional well logs. An evaluation idea takes the advantages of new well logging technology combined with the conventional well logs so that the evaluation of “three qualities”, i.e. the quality of the hydrocarbon source rocks, the quality of the reservoir and the quality of the engineering can be carried out. Based on the above-mentioned idea, well J2 and Q1 of Q region in Songliao Basin are evaluated with relatively complete new well logging data. The models of “seven properties” evaluation are built in order to evaluate the wells with the conventional well data. The data of 20 old wells are processed with the models in the same work area, achieving desirable results. In the end, the reservoir classification standard is preliminary established on the basis of fine logging evaluation and a continental tight oil evaluation system is formed accordingly. Comparing with the conventional well logs, new logging technology will provide great support for the further work of continental tight oil exploration and development.
Key words:new well logging technology continental tight oil seven properties evaluation three qualities logging evaluation
Received: 05 September 2016
Corresponding Authors:wksz@cup.edu.cn
Cite this article:YIN Chengfang,KE Shizhen,JIANG Ming等. Application of new well logging technology in the evaluation of “seven properties” of continental tight oil: A case study on the Gaotaizi oil layer in the Northern Songliao Basin[J]. Petroleum Science Bulletin, 2017, 2(1): 32-43.
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