摘要
分层启动压力是确定分层注水方案的主要依据,是开展多层油藏层间治理,实现精细注水的前提和基础。本文基于中原油田东濮老区油藏特性,研究了启动压力梯度随储层物性的变化规律,基于BP神经网络建立了小层启动压力预测模型,形成一套适合油藏特点的启动压力求取方法,对于指导油田精细注水、改善注水开发效果具有重要意义。
The stratified starting pressure is the main basis to determine the stratified water injection program. Based on the reservoir characteristics of Dongpu mature area of Zhongyuan oilfield, this paper studies the variation rule of starting pressure gradient with reservoir physical property. A small layer startup pressure prediction model based on BP neural network is established. A set of starting pressure calculation method suitable for reservoir characteristics is formed. The method is of great significance for guiding fine water injection and improving the effect of water injection development.
出处
《石油天然气学报》
CAS
2020年第3期120-126,共7页
Journal of Oil and Gas Technology
关键词
分层启动压力
神经网络
预测技术
中原油田
精细注水
Stratified Initiation Pressure
Neural Network
Prediction Technology
Zhongyuan Oilfield
Fine Water Injection