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《Fault-Block Oil & Gas Field》 2018-03
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Lithologic characteristics and logging identification of Mesozoic volcanic rock of Kenli 16-A Structure in Laizhouwan Depression

FENG Chong;WANG Qingbin;WANG Lihong;LIU Xiaojian;GUO Longlong;CNOOC China Limited,Tianjin Branch;CNOOC Energy Technology & Services Ltd.;  
Mesozoic volcanic rocks of Kenli 16-A Structure in Laizhouwan Depression are complicated, and accurate identification of lithology is the first important problem in exploration and evaluation. Based on core(SWC) and thin section analysis, litho scanner logging and FMI logging and conventional logging are applied to litho-identification. The results show that six types of volcanic rocks of two major categories developed in the study area, neutral volcanic rocks including andesite, andesitic volcanic breccia and andesitic tuff, acidic volcanic rocks mainly including rhyolite porphyry and rhyolite volcanic breccia and rhyolitic tuff; litho scanning logging can identify the andesitic and rhyolitic volcanic rocks, FMI logging can identify lava, volcanic breccia and tuff.Combination of litho scanning logging and FMI logging can identify six types of volcanic rock by chemical component and physical structure. The complex volcanic rock identification process is built by the sensitivity analysis of conventional logging curves inferred from the special logging identification results. The method of using conventional logging curve to identify complex volcanic rocks plays an important role in the later exploration evaluation. Based on the lithology calibration of special logging, drilling core and side well core, the results of special logging recognition was applied to conventional logging curves. Then, the identification process of complex volcanic rock is built by the analysis of the conventional logging curves characteristics of various volcanic rocks. The method of using conventional logging curve to identify complex volcanic rocks plays an important role in the later exploration evaluation.
【Fund】: 国家科技重大专项课题“渤海海域勘探新领域及关键技术研究”(2016ZX05024-003)
【CateGory Index】: P618.13;P631.81
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