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A Area Upper Triassic Logging Reservoir Parameter Studies Calculation Method

Author: TangLiang
Tutor: LiRui
School: Chengdu University of Technology
Course: Solid Earth Physics
Keywords: Well logging Reservoir parameters Reservoir Evaluation
CLC: P631.81
Type: Master's thesis
Year: 2011
Downloads: 69
Quote: 0
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Abstract


Logging processing and interpretation often encountered in accordance with the relevant logging information category, such as the division of rocks, determine the type of reservoir, identify formation fluid properties. Reservoir parameters as the basic parameters required in the oil field development process to determine their values ??are fine reservoir interpretation is an important task. Well logs to predict reservoir parameters is the most cost-effective method. By studying logging curves for predicting porosity, permeability, water saturation degree of reservoir parameter solve Zone A single well reservoir classification, gas reservoir identification, logging fine Evaluation and block multi-well integrated Description and gas reservoir distribution. First understand A regional topography, geology, the A region Xujiahe strata object, to carry out the study of the physical properties of reservoir. 2 lithology identification from well logs on typical lithology logging response characteristics will be described. TFI algorithm to identify the Xujiahe lithology reservoir logging response characteristics and formation fluid logging response characteristics, this method overcomes the the ordinary clustering method classified unstable, with the initial classification relations shortcomings of a larger . 4 due to non-geological factors, using the frequency histogram method and neutron - Sonic Crossplots method standardized processing system error is minimized by the logging curves. Using carbon-bearing shaly sand model with a larger interference effect, reservoir evaluation of carbon as an independent mineral processing. Establishment of various explanatory model for solving various reservoir parameters, model simulation, digital simulation and real data analysis, research impact logging in a variety of geological factors such as clay content, porosity, fluid properties, saturation, and analyze the corresponding correction and making the appropriate correction charts. Using quantitative evaluation methods and quantitative parameters of the extraction and analysis of the effectiveness and adaptability of the various methods of application. 5 After logging curve standardized, effective thickness shall be sixth statistics, horizontal contrast are several ways the results. A well block shall be six gas reservoir between the well logging interpretation must be hexamethylene effective reservoir thickness, porosity, gas saturation and storage coefficient, with appropriate reference to the high-resolution seismic inversion predicting reservoir wells trends, required to be done hexamethylene segment effective thickness, porosity, gas saturation and storage coefficient contour maps, calculate reserves results. Core data, testing and production testing to establish the statistical relationship between the reservoir oil and logging parameters, log interpretation comprehensive evaluation of reservoir oil interpretation model, in line with the area of ??reservoir oil the actual outcome of the case. In this paper, the theory and practice area A reservoir study, carried out in the area of ??reservoir characteristics and log response characteristics analysis based on Fluid Properties, the reservoir parameters quantitative evaluation, logging comprehensive evaluation results in line with the actual situation, as The proven reserves in the district to provide a basis for.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Underground geophysical > Borehole measurements
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