油气储层损害识别及诊断信息融合模型研究

应用信息融合技术与不确定性决策理论,构建了对油气储层损害进行识别、诊断、评价和预测的信息融合模型。该模型以储层多源信息构成储层类型识别的样本空间,以储层损害所有可能类型构成目标类型论域,利用证据合成规则进行多层次空间信息融合,以置信区间作为各类可能损害的智能诊断和决策的依据;同时建立了储层损害诊断和保护智能决策系统的体系框架,提出以分级多层黑板模型为基本框架,以产生式规则构建知识源和以证据理论作为不确定性推理的多源信息融合专家系统的智能诊断和决策实现技术。该技术更加有效地利用储层及储层损害多源信息,准确判断储层损害成因及损害程度,使油气储层保护技术及时、准确和系统地得到应用。

Data fusion technique for discernment and diagnosis of formation damage

The mechanism of formation damage and the relevant protection technology are discussed. An information fusion model for identification, diagnosis, estimation and forecast of formation damage using the data fusion technique and the uncertainty decision theory was established. The reservior information from multi-source constructed the sample space for recognizing type of reservior, and all possible types of formation damage composed the objective discrimination domain. The information fusion in muhilayer space was carried out by the evidence thoery. Then,based on the multilayer blackboard model,a systematic framework for decision-making of diagnosis of formation damage and formation protection was set up. This technique can use formation information effectively, discern the causes of formation damage accurately and help the formation protection measures to be implemented in time.