Adaptive Channel沉积相建模在水平井地质导向中的应用

Application of Adaptive Channel Sedimentary Facies Modeling in Horizontal-Well Geo-Steering

针对出发井和末端井的二维剖面地质导向技术不能充分体现邻井间立体地质关系,储层预测效果差的问题,利用现代辫状河沉积、野外露头、加密区构型解剖及水平井分析等资料,建立了研究区辫状河储层单层沉积微相参数地质知识库。以此为约束,采用基于目标对象的Adaptive Channel沉积相建模方法,构建多期河道叠置的三维沉积微相模型,建立了不同概率的预测模型,指导水平井地质导向。结果表明,该方法指导水平井地质导向的成功率达到90.9%,与传统方法相比,砂体钻遇率提高约8个百分点,气层钻遇率提高约5个百分点,试气产量及生产能力均明显提升。该方法对强非均质性致密砂岩气藏高效开发提供了技术支持。

The 3D geological relation between adjacent wells cannot be fully characterized by the 2D-secton geo- steering technology, which usually leads to poor reservoir prediction. A geology database for the monolayer sedimen- tary microfacies of braided river reservoir is established according to the modern braided river sedimentation, out- crop, structure analysis of infilling region and horizontal well data. As a constraint, a target-based Adaptive Chan- nel sedimentary facies modeling method is used to establish a 3D sedimentary microfacies model with multi-stage stacking channels and prediction models with different probabilities to guide the horizontal-well geo-steering. The corresponding horizontal-well geo-steering success rate has reached 90.9%. Comparing with that of traditional methods, the sandbody drilling rate is increased by about 8percentage points and the gas reservoir drilling rate is in- creased by about 5%, which results in significant test gas production and productivity. This research could provide certain technical reference for the efficient development of tight sandstone gas reservoirs with strong reservoir hetero- geneity.