A Area Upper Triassic Logging Reservoir Parameter Studies Calculation Method

Logging frequently encountered in processing and interpretation according to related logging information of problems, such as the classification of the divided rock types, determine the reservoir type, identify formation fluid properties, etc. Reservoir parameters as required in the course of oilfield development, the basic parameters, determine their value is reservoir fine explain a important task. By well logging curves reservoir parameter prediction of is the most cost-effective method.Through studying the logging curve prediction porosity, permeability, water saturation petrophysical parameters such as the solution of A single well reservoir classification, gas identification, logging fine after the assessment and how well block comprehensive description and gas reservoir distribution, etc.1 First of all know A region and geomorphology, geological survey, to A region must be home for the object, the group stratum petrophysical characteristics in the study.2 From logging curve, typical identifying lithology lithology and logging response characteristics to illustrate.3 Use of TFI algorithm must be home identification of the lithology, thereby get reservoir logging response characteristics and formation fluid logging response characteristics, this method overcomes ordinary clustering method classification instability, and initial classification relationship big disadvantage.4 Because the geological factors, the frequency histogram method and neutron - acoustic intersection method, normalized system error logging curves minimum degree. Adopt containing carbon shaly model, with larger reservoir evaluation of carbon interference as a kind of independent minerals processing. Establishing various explain each reservoir parameter model, through the model simulation and digital simulation and actual data analysis, the influence of various geological factors include log argillaceous content, porosity, fluid properties, saturation, analysis the relevant calibration methods, and make corresponding correction engraving. Using quantitative evaluation method and relevant quantitative parameters of various methods, analyzes the extracted the application effect and adaptability.5 After logging curves, after proudest of standardization shall be effective thickness statistics, lateral comparison of the gains from the several methods. According to A well block reservoir shall be six logging interpretation shall each Wells six and section reservoir effective thickness, porosity, containing gas saturation and energy storage coefficient material, and appropriate reference high resolution seismic inversion forecast reservoir crosswell change trend, make DuanYouXiao thickness, shall be six and porosity, containing gas saturation and energy storage coefficient isoline calculated results. Reserves, With the core material, try oil production material, based the reservoir oily and logging parameters of statistical relationship between the logging interpretation comprehensive evaluation, established the reservoir oily explanation model, and achieved accord with reservoir of oil-bearing actual results.This article through to the theory and practice of A region, reservoir in regional reservoir characteristics and logging response characteristics on the basis of analysis, launched the fluid property discriminant, reservoir parameter quantitative evaluation, logging comprehensive evaluation results tally with the actual situation, proven reserves for the calculation to provide the basis.