利用地震资料约束小尺度离散裂缝的空间分布

Constraint of spatial distribution of small-scale discrete fractures with seismic data

王强 卢泉杰 韩科龙 郑松青

中国石化石油勘探开发研究院，北京 100191

Research Institute of Petroleum Exploration & Production, SINOPEC, Beijing 100191, China

离散裂缝网络模型能够表征储层任意尺度上的非均质性，已经成为裂缝性油藏描述的一项先进技术。在离散裂缝网络模型建模过程中，应视裂缝尺度不同采用不同的方法：易识别的大尺度裂缝一般采用确定性建模方法；难以识别的小尺度裂缝一般采用基于示性点过程的随机建模方法。针对小尺度裂缝随机建模过程中裂缝片空间位置的确定展开研究，提出了一种能够利用地震资料约束井间裂缝分布的方法。该方法在裂缝密度模型建模的基础上，先将其转化为概率模型，再以概率模型作“中介”，并同一定的终止条件相结合，最后确定裂缝片位置，解决了井点处裂缝密度同控制裂缝生成的密度不一致的问题。通过实例验证了该方法的可行性。

Discrete fracture network(DFN) model can depict the heterogeneity of fractured reservoir on any scale, which has become an advanced technology in reservoir characterization. During reservoir modeling, fractures with different scales are described by different methods. Large-scale fractures which can be identified are described by deterministic modeling method, while small ones which are difficult to identify are described by stochastic method based on marked point process. In this paper, in view of the problem of determination of fracture location during stochastic modeling of small-scale fracture, a new constraining method for fracture spatial distribution was proposed by using seismic data. In this method, fracture density model is transformed into probability model at first, and then probability model combined with termination condition is used to locate the fractures, which resolves the inconsistent problem of the density generated by controlling fracture and fracture density at well point. At last, an example is proposed to verify the method.

10.6056/dkyqt201204004