摘要
产量递减预测模型已成为油气藏预测研究的重要手段 ,广泛应用于油气藏工程研究之中。但由于产量递减预测模型使用的生产数据受工作制度影响大 ,预测时使用预测模型单一、预测精度低、预测工作量大 ,现场应用受到限制。在考虑压力对预测结果的影响基础上 ,筛选能反映生产规律信息的生产数据 ,实现数据校正 ,同时对众多产量预测模型进行优选 ,充分应用计算机资源自动拟合、自动预测、自动成图 ,弥补了传统的产量递减预测模型的不足。通过现场运用 ,取得了较好的拟合预测效果。
Yield decline prediction model has become an important measure for the research of oil and gas prediction, which is widely applied to the research of oil and gas reservoir engineering. But because the production data used in the yield decline model are magnificently influenced by working system, the utilized prediction model is unitary while predicting, the prediction accuracy is low, and the work amount of prediction is great, so the on-site application is limited. On the basis of considering the influence over prediction result by pressure, the production data which can reflect the rule of production information are sifted, data check realized, and simultaneously the numerous production predicting models optimized, automatic-fitting, -predicting and -map-forming practised by sufficiently using computer resources, thus the insufficiency of traditional production declining prediction model is remedied, Through on-site utilization, the relatively good effect of fitting prediction has been obtained.
出处
《天然气勘探与开发》
2004年第2期54-56,共3页
Natural Gas Exploration and Development
关键词
产量
油气藏
FWG
相关系数
预测方法
yield decline, yield prediction, model, oil and gas reservoir, engineering
