Study On The Logging Evaluation Of Water Flooded Layer And The Distribution Of Remaining Oil Of Gao-6 Fault Block In Gaoji Oilfield

Studying on the quantitative evaluation of water flooded layer and the distribution law of remaining oil have been a very important problem which is urgent for resolving. This thesis is focused on the first and second members of Funing Formation of Gao-6 fault block in Gaoji oilfield. By subdividing and correlating the sublayer, subdividing the sedimentation model and analyzing the loging response of the water flooded, we got the change features of the water flooded layers. On this basis, using cross plot method, neural network algorithm, support vector machine algorithm and Fisher discriminant analysis method, to achieve the qualitative evaluation of water flooded layers and find out the exact depth localization of the water flooded layer. Then, by studying on the four-property relationship of the reservoir, logging interpretation models, and water flooded layer multi-well processing and evaluation to achieve the quantitative evaluation of water flooded grades. At last, on the research of the reservoir numerical simulation, quantitative research and distribution of remaining oil are discussed. Find out the controlling factors and provide criterion for enhancing the oil recovery. Through the research mentioned above, the following results are achieved:(1)High-resolution sequence stratigraphy framework has been built after basal level cycling analysis. This study section includes 1 long term cycle,5 middle term cycles and 23 short term cycles. Two depositional systems are distinguished on the basis of the detailed observation and description of core, combining with the well logging, areal geology and all kinds of analyzed assay datum. Terminal fan developed during the Elfl sedimentary period and beaeh-bar sedimentation system was deposited during the E1f2 sedimentary period.(2) Based on well logging data standardization in the research area, analyze the loging response of the water flooded and find out the sensitive well logs reflecting water flooded layers.(3) Achieved the quantitative evaluation of water flooded layer by cross plot method, neural network algorithm, support vector machine algorithm and Fisher discriminant analysis method, and established the water flooded interpretation software, on the purpose to find out the exact depth localization of the water flooded layer.(4) According to different reservoir types, established the fine and quantity log interpretation models which respond the objectivity. On this basis, the evaluation standards and pattern are founded to achieve the quantitative evaluation of water flooded layer.(5) On the research of macro and micro remaining oil, the reservoir numerical simulation, weter flooded quantitative research and distribution of remaining oil are discussed, the further development is proposed. This research suggested that the movable oil high value region exists generally in the sand pinchout area, the well pattern imperfect area and constructs the high spot, and mostly assumes the dispersion shape, laminated, the continual shape distribution.