Imaging Logging Datum Processing And Application Research In Carbonate Reservior

Micro-resistivity imaging log have the highlighted advantages of high resolution, large amount of geological information and intuitive image. It has been more and more widely used in every important part of petroleum exploration and development.The article analyzes the application of the micro-resistivity scanning imaging logging data is used in carbonate rock, which applies to the Tazhong area of the Tarim basin. Through processing the FMI and EMI data, we gain the good results.First, the paper gives a detailed introduction of electrical imaging logging technology, such as the measurement tenets, the measurement method, the equipment structure, the instrument indicators and the applicable conditions. Then the paper discusses the factors affecting the working process of ultrasound imaging logging and introduces the corresponding preprocessing of the logging data, the processing of logging data include imaging logging processing, image generation and display, and image preprocessing, which are precondition and basis of identification of fracture in the logging image. We studied depth and speed correction, data normalization, emission voltage correction, bad electrode calibration, data scale, and image generation. On this basis, we used imaging software to generate specific map that display geological conditions clearly. In addition, we made an analysis and comparison to the FMI, FMS, EMI and STAR-II results of figure.Using rock rubbing of model well to calibrate, detective the fractures of the sidewall, and then letter on the map of the log response. Further, do the researcher of the geological application, include these aspects as follow:the identification of the fracture and the limestone cave, thin seam identification and evaluation, the interpretation of sedimentary structure, the research of cave effectiveness and the identification of fluid properties. For the method of identification of fracture, we studied it by conductivity anomaly and the image from imaging logging respectively. The fracture identification through conductivity anomaly based on analysis of major electric button measure curve and azimuth curve. The method through the image from imaging logging include human-computer interaction identification and computer automatic recognition. For the method of identification of limestone cave, we studied it by image segmentation method. This method enables holes separated from the matrix background and then calculated the pore parameters. For the method of identification and evaluation of thin seam, we could identify the thin seams from imaging maps because of the high-resolution characteristics of the micro-resistivity imaging logging. For the research of cave effectiveness, we can easily identify the cave from imaging map, and then combined with conventional data to evaluate the degree of filling and the type of filling. For the method of identification of fluid properties, we could use apparent formation water resistivity map and the crossplot of the water saturation and the apparent formation water resistivity to identify the fluid properties. According to the processing and interpretation of imaging data in Tazhong area, analysis of the imaging logging in identification of the fracture and the limestone cave, thin seam identification and evaluation, the interpretation of sedimentary structure, the research of cave effectiveness, the identification of fluid properties. So this paper give some instruction in the exploration and development of heterogeneous reservoir in the Tarim Oil field.