Application Researching Of The Quantitative Interpretation Of Borehole Resistivity And Acoustic Imaging Logging In Fractured Reservoir

Imaging logging technology is used in rotating sensor or array scanning scan borehole in well, along the longitudinal,circumferenital ,radial formation of the borehole collected a lot of information and transmit to the acquisition system on ground, after processing by image pressing software ,can get a circumferential wall or a two-dimensional image around the borehole within a three-dimensional depth image.Thus, the imaging logging technology for its intuitive and high-resolution features in the field of oil exploration has been widely used, and therefore the data interpretation is constantly evolving and improving. While the initial logging data imaging can directly reflect the formation of some physical information, but can only qualitatively reflect lithology, porosity, cracks, fluid reservoirs, etc., and can not directly access the quantitative stratigraphy, lithology of the real data. In addition, the well casing and the fluid also affect the measurement results , these disturbances give imaging logging data interpretation has caused great difficulties, making the image logging system can not play its due role . In this thesis, the current use of more domestic ECLIPS-5700 series acoustic-electric imaging logging tool STAR-II as an example, the principles of imaging logging tool to analyze and study, through experimental simulation techniques and simulation well calibration method, a series of studies carried out work for the improvement of imaging log interpretation provide a basis to improve on the formation factor, porosity and pore shape of the relationship between awareness, better imaging logging methods play in the oil exploration role.In this thesis, acoustic and electromagnetic imaging on the principle of logging analysis, acoustic and electromagnetic imaging simulation well, the data obtained with the imaging logging stratigraphic model reconstruction, to achieve this complex inversion problem, and then on fractured reservoirs quantitative interpretation of logging data imaging.