Microscopic Pore Structure Evaluation Method Based On Conventional Logging Data

Now most of the oil fields have entered into the late development period of high water content,and the total water content is mostly above 80%.And the distribution of residual oil is more fragmented and complex.One of the main research subjects to maintain high yield and stable oil field is to study the distribution of remaining oil.The microscopic pore structure of reservoir is one of the basic factors affecting the distribution of remaining oil.The current method of people study on micro pore structure is the main indoor laboratory method,but the cost of indoor laboratory method is more expensive,but the core data are not easy to get,which now makes research in a state of theoretical research,research is not applicable to the region within the scope of.In contrast,logging data can reflect the continuous nature of the strata and easy to obtain,if can use the logging data of micro pore structure of the reservoir will be able to forecast the recognition,theoretical research results into practical results,realize the transformation of theory to practice.This will be a low cost,practical and fast evaluation method,which is of great significance to maintain stable oil production in the later period of oilfield development.In this paper,various methods of studying the microscopic pore structure of reservoirs by means of laboratory laboratory are studied.The characteristics of microscopic pore structure parameters are studied according to the methods of mercury intrusion,casting and scanning electron microscopy.The parameters of micro-pore structure can be described by mathematical method and the micro-pore structure is classified.(SP),natural gamma(GR),high-resolution acoustic time difference(HAC),deep side(RLLD),shallow lateral(RLLS),micro-potential(RMN),micro-gradient(RMG)and rinse zone resistivity(Rxo)are closely related to the pore structure.And then proposed a method to identify the microscopic pore structure of reservoir by using neural network technology.Using the above method,the data of 140 wells in sak area are identified,and the recognition results are imported into the oilfield geological database.the coincidence rate of core analysis pore structure type and identification pore structure type is over 80%,which shows the effectiveness and practicability of this method,and can meet the needs of field use and scientific research.