多点地质统计学建模中训练图像建立方法综述

多点地质统计学建模是近年来储层建模技术的研究热点，其实用性受到训练图像的限制。训练图像的质量决定了多点地质统计学建模的精度和可靠程度，是多点地质统计学建模成功的关键因素。文章阐述了训练图像的特征和意义，从方法的定义、使用情况、实例等方面系统介绍了训练图像建立的方法，包括手工绘制、基于目标模拟、三维地震信息提取或转化、基于原型模型、基于过程模拟和二维图像方法，综合对比了不同训练图像建立方法的数据来源、优势与不足，探讨了多点地质统计学建模依赖训练图像存在的问题。结合文献调研和多点地质统计学建模实践，指出了训练图像及其建立方法的发展方向，为多点地质统计学建模研究者和使用者提供借鉴，为完善多点地质统计学建模方法提供思考。

A Review of the Establishment Methods of Training Image in Multiple-point Statistics Modeling

Multiple-point statistics (MPS) modeling has been the research hotspot of reservoir modeling technology in recent years, and its practicability is restricted by training image. The quality of training image determines the accuracy and reliability of MPS modeling, and is a key factor for the successful application of MPS modeling. This study addresses the characteristics and significance of training image, and systematically introduces the establishment methods of training image creation from the definition, usage and instance, etc., including hand drawn, object-based simulation, 3D seismic information extraction or transformation, prototype- ased model, process-based simulation and 2D image method. Then, our study comprehensively compares the data sources, advantages and disadvantages of various training image creation methods, and discusses the problems caused by MPS modeling relying on training images. Combined with reviewing prior works and MPS modeling practice, the research direction of training image and its establishment methods in the future is pointed out, which provides reference for MPS modeling researchers and users, and provides some thoughts for improving MPS modeling methods.