Method for performing quantitative production forecast on reservoirs by weighting coefficients of effective thicknesses of reservoirs

Abstract

The invention discloses a method for performing quantitative production forecast on reservoirs by weighting coefficients of effective thicknesses of reservoirs. The method comprises the following steps of establishing a Raymond & Binder triangular fracture model under the conditions nonhomogeneity and multi-layer concurrent fracturing; establishing a relation between production and reservoir physical property parameters, oil reservoir physical parameters, reservoir engineering parameters, reservoir fracturing parameters, well completion and test parameters and perforation parameters by the model; determining a relation between the effective thicknesses h and oil-phase effective permeability Ko; establishing an oil-phase relative permeability kro model; determining an oil-phase effective permeability model, and determining a residual oil saturation and irreducible water saturation model; establishing comprehensive evaluation indexes ZZ of the reservoirs by parameters: porosity phi, absolute permeability K and oil saturation So; determining the weighting coefficients of the effective thicknesses of the reservoirs of different types; establishing correction coefficients beta of the production; according to comprehensive production indexes ZZ, the weighting coefficients alpha1, alpha2 and alpha3 of the effective thicknesses of the reservoirs and the correction coefficients of the production under different development modes, computing single well production. The problems that engineering application is inconvenient and the efficiency is low are solved by the method.

Description

technical field [0001] The invention belongs to the field of petroleum development and engineering, and relates to a method for effectively determining the weighted coefficient of oilfield reservoir thickness in production capacity prediction and a method for quantitative production capacity prediction. Background technique [0002] Well logging interpretation at home and abroad mainly provides achievements such as reservoir division, reservoir parameter calculation and determination of oil, gas and water conclusions. However, with the increasing development of new logging technology and logging interpretation and evaluation technology, logging At the same time as the mission of dividing and parameterizing computer oil-water conclusions, the development of well logging technology has put forward new requirements for well logging. Productivity evaluation is an extension of the conventional application of well logging, and it is also a new task for well logging. At the same ti...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the productivity index method exaggerates the influence of the effective thickness on the productivity in the current reservoir productivity prediction and the Raymond & Binder model is more complicated in engineering application, and under the guidance of the seepage theory, to find a kind of objective evaluation The impact of effective thickness on reservoir productivity can simplify the complexity of engineering application operations and improve the efficiency of productivity prediction.

On the basis of absorbing the advantages of seepage model and productivity index method, this method establishes a quantitative prediction method of productivity based on seepage theory, which solves the problems of inconvenient engineering application and low efficiency

[0009] The present invention combines the actual characteristics of the oil and gas field development site on the basis of Raymond&Binder theoretical model research, and combines the relative permeability experimental analysis test data to study the seepage characteristics of the reservoir, and finds out a method that utilizes the effective thickness weighting coefficient of the reservoir Quantitative production capacity prediction method to solve the problem of over-exaggerating the contribution of effective thickness to production capacity. At the same time, the effective thickness price weighting coefficient is combined with the Raymond&Binder theoretical model, which greatly simplifies the production capacity prediction method based on the percolation theoretical model, and this method is used Solve practical problems in actual production of capacity forecasting

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