Quantitative Well-logging Interpretation And Evaluation Of Complex Water-Flooded Zone In Qin Huangdao M Oilfield

Most oil fields in our country has entered a stage of high water cut, in which remaining oil becomes more dispersion and relationship of oil-water turns to be more complex. As the exploitation of oil fields, it is becoming more and more difficult to explore, so it must be cognizant of the dynamic change of the reservoir especially the flooding condition and distribution of remaining oil when making oil field development plans. This study is aimed at water flooded layers, consequently, it is of practical significance.The thesis is focused on the log interpretation of M oilfield of Qin Huangdao for the purposes of remaining oil of the high-water oilfield. According to the problem of the remaining oil distribution which urgently needed to be solved during the development phase it established the systemic approach of the interpretation and the remaining oil distribution from the perspective of logging which provided a new way for the forecast of the remaining oil distribution in the high-water period. Main achievements and recognition obtained as follow:(1) Collect and analyses the rock power data, the experimental data, core test analysis data, cast sheet test, the conventional image analysis, mercury injection capillary pressure test, physical test data, saturation analysis data, logging data and description of oil, oil testing data, production test data, the injection wells and production wells data, well-field water analysis data and the means of production and geological reports, completion reports, development of historical data and logging data, etc. in the block reservoir, through a comprehensive analysis of various data, a more detailed grasp of the tectonic blocks and blocks of the overall development of the situation urgently needed to be solved has been completed.(2) Combined with M Oilfield deposition rhythmic characteristics, research and summarize the water flooded laws and response characteristics on log curves of different sedimentary rhythm reservoir(3) Based on actual water flooded zones data of M oilfield and combined with theoretical analysis, concluded the methods of SP baseline shift, decline Rate of resistivity, inversion of true resistivity, inversion of initial saturation, comprehensive analysis of log curve.(4) Using core analysis data and logging data to establish the clay content model, porosity model and permeability model of study block; using Rock-Electricity analysis information to establish a logging interpretation of water-saturation model; using capillary pressure data and oil-water relative permeability data to establish the interpretation models of bound water saturation, the residual oil saturation, oil-water relative permeability and water content ratio.(5) Aiming at the characteristic of complicated formation water mixture in M oil field, the iterative methods for formation water mixture resistivity and water saturation calculation are created based on the new formed formation conductive model. The model provides improved accurate calculations for oil and water relative permeability and water production rate.(6) The water production rate prediction model and oil displacement efficiency evaluation model are built in M oil field, and are used to provide a standard for quantitative flooded grades classification. The water flooded layers are then classified and the produced liquid property are predicted according to the model and classification standard.