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Application of neural network technology for modelling well operation and fluid filtration processes in oil reservoirs

机译:神经网络技术在油藏油井作业和流体过滤过程建模中的应用

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Mathematical simulation of oil reservoirs drilled by systems of wells is one of the compulsory stages of a design and feasibility study of technological schemes for oil field development. This simulation is based on formulation and numerical solution of simultaneous equations with partial derivatives under the relevant boundary and initial conditions. For the present, such mathematical simulation remains a tool for specialists, researchers. The paper considers a possible approach for problem solution of simulation and prediction using neural network technology. One of the possible variants for creation of such system is considered. The substantiation of its architecture is given. The system of input and output data as well as the operation scheme is described.
机译:钻井系统对油藏进行数学模拟是油田开发技术方案设计和可行性研究的必修阶段之一。该模拟基于在相关边界和初始条件下具有偏导数的联立方程的公式化和数值解。目前,这种数学模拟仍然是专家,研究人员的工具。本文考虑了一种使用神经网络技术解决模拟和预测问题的可行方法。考虑了用于创建这种系统的可能变体之一。给出了其体系结构的实例。描述了输入和输出数据的系统以及操作方案。

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