Oil and gas reservoir parameter interpretation method and device based on neural network and electronic equipment

A neural network and parameter interpretation technology, applied in the field of oil and gas reservoir parameter interpretation based on neural network, can solve the problems of long calculation time and many calculation parameters, and achieve the effect of reducing workload, high precision and improving interpretation efficiency.

Active Publication Date: 2020-04-10
合肥鼎盛锦业科技有限公司
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Problems solved by technology

However, numerical well testing also faces a series of difficulti

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  • Oil and gas reservoir parameter interpretation method and device based on neural network and electronic equipment
  • Oil and gas reservoir parameter interpretation method and device based on neural network and electronic equipment
  • Oil and gas reservoir parameter interpretation method and device based on neural network and electronic equipment

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Embodiment Construction

[0056] The application discloses a neural network-based oil and gas reservoir parameter interpretation method, device and electronic equipment to improve the efficiency and accuracy of numerical well test interpretation and reduce the work intensity of well test interpretation personnel.

[0057] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0058] see figure 1 , and the figure is a flow chart of a neu...

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Abstract

The invention discloses an oil and gas reservoir parameter interpretation method and device based on a neural network and electronic equipment. The method comprises the steps of receiving to-be-interpreted parameter and a corresponding numerical range; sampling the to-be-interpreted parameter in the numerical range to obtain a trial calculation example; respectively inputting the trial calculationexample into a first Gaussian radial basis function neural network and a second Gaussian radial basis function neural network to obtain corresponding calculation pressure change data and calculationpressure derivative data; and calculating a target function value, if the target function value is smaller than or equal to judgment threshold, taking the parameter value contained in the current trial example as an interpretation result of the to-be-interpreted parameter, and if the target function value is greater than the judgment threshold, executing the step of sampling in the numerical rangeand the subsequent steps again until the interpretation result of the to-be-interpreted parameter is obtained. Based on the scheme provided by the invention, the efficiency and precision of numericalwell test interpretation can be improved, and the working intensity of well test interpretation personnel is reduced.

Description

technical field [0001] The application belongs to the technical field of oil and gas reservoir development, and in particular relates to a neural network-based oil and gas reservoir parameter interpretation method, device and electronic equipment. Background technique [0002] The basic purpose of oil and gas reservoir research is to predict the future behavior of oil and gas reservoirs, and to find ways to increase ultimate recovery. In the process of oil extraction, some engineering problems will be encountered, for example, how to estimate the production of oil wells and so on. This requires the establishment of a reliable geological model, and then based on the geological model to solve the difficult problems of oil and gas reservoir evaluation, management and development, and to ensure the dynamic prediction of oil and gas reservoirs and oil wells. Establishing a geological model requires knowledge of formation parameters and wellbore parameters of oil and gas reservoi...

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Application Information

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IPC IPC(8): G06F30/20G06F119/14G06F111/10
CPCY02A10/40
Inventor 李道伦查文舒孔舫
Owner 合肥鼎盛锦业科技有限公司
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