Establishment and Application of the Multi-Peak Forecasting Model

Hao Ming-qiang
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引用次数: 1

Abstract

After the development of the oil field,it is an important task to predict the production and the recoverable reserves opportunely by the production data.At present,the forecasting methods include reservoir numerical simulation,forecasting model,material balance and production decline ones,and so on.Of these methods,the forecasting model is a useful and effective one for entire forecasting.The famous generalized Weng model,Weibull model,Rayleigh model,HCZ model,Hubbert model,Lognormal distribution model are major forecasting models based on the development model of a single peak,by which the reliable results can not be obtained for dual-peak and multi-peak development model.In this paper a multi-peak forecasting model and its nonlinear multi-parameters automatic matching techniques are proposed,which are effective for the multi-peak development model.According to the practical application,this multi-peak forecasting model is practical and effective.
多峰预测模型的建立与应用
油田开发后,利用生产资料适时预测产量和可采储量是油田开发的一项重要任务。目前的预测方法主要有储层数值模拟、预测模型、物质平衡法和产量递减法等。在这些方法中,预测模型是一种适用于整体预测的有效方法。著名的广义翁氏模型、威布尔模型、瑞利模型、HCZ模型、Hubbert模型、对数正态分布模型是基于单峰发展模型的主要预测模型,双峰和多峰发展模型无法得到可靠的预测结果。本文提出了一种多峰预测模型及其非线性多参数自动匹配技术,该方法对多峰开发模型是有效的。实际应用表明,该多峰预测模型是实用有效的。
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