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| Identification of hydrate and lithology based on well logs in Muli area |
| QIN Rui-Dong1, LIN Zhen-Zhou1, 2, PAN He-Ping1, QIN Zhen1, DENG Cheng-Xiang1, JI Yang1, XU Wei1 |
1.Institute of Geophysics and Geomatics,China University of Geosciences (Wuhan),Wuhan 430074,China;
2.Institute of Geophysical and Geochemical Exploration,CAGS,Langfang 065000,China |
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Abstract The geological background in Muli area is very complex due to the well-developed faults,fractures and lithologic difference of gas hydrate-bearing formations,which makes it more difficult to identify the lithology with well logging data.Through the analysis of logging response characteristics,the differences between lithologic characters can be found so as to recognize the lithology that contains gas hydrate by utilizing histogram and cross-plot methods.According to natural gamma ray (GR),resistivity (RT),acoustic travel time (AC),and compensated density (DEN),which are sensitive to gas hydrate,the gas hydrate-bearing formation and lithology can be classified by using Bayesian discriminant and BP neural network.The identification results are consistent with the core data,the gas hydrate-bearing lithology is recognized accurately,which can provide some reference for the exploration of gas hydrate.
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Received: 08 September 2017
Published: 20 December 2017
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