页岩气资源评价包含基于地质及勘探过程分析基础之上的资源量计算、有利区分布及经济有效性分析等内容,其核心是符合地质过程演化特点及资料掌握程度的评价方法选择、参数处理及结果分析。页岩气资源智能评价能够克服现实资源评价中的局限性,可实现从定性到定量的全程模拟与评价,具有明显的发展阶段性特点,利用机器学习、推理机等现代手段开展资源评价是现阶段的主要特点。方法选择、参数质量及评价效果是页岩气资源评价的关键,基于地质特点和勘探程度的知识库建立、数据搜集、参数分析、数据挖掘、地质推理、方法选择、智能运算、结果可信度分析、结果的空间表达及全程连续执行等,是页岩气资源智能评价的基本思路和方法。功能强大、全程连续实现的智能评价是页岩气资源评价发展的基本方向,需要在现有技术基础上不断积累与实践,在更大的范围内推动页岩气资源评价方法和技术的发展。

Shale gas resource evaluation includes resource calculation, favorable distribution area and economic effectiveness based on geological and exploration process analysis. Its core is evaluation method selection, parameter processing and result analysis in line with geological process evolution characteristics and data mastery degree. The intelligent evaluation of shale gas resources can overcome the limitations of real resource evaluation, and can realize the whole process simulation and evaluation from qualitative to quantitative. It has obvious characteristics of development stages. The main feature of resource evaluation at this stage is to use modern means such as machine learning and inference engine. Method selection, parameter quality and evaluation effect are the keys to shale gas resource evaluation. Knowledge base establishment based on geological characteristics and exploration level, data collection, parameter analysis, data mining, geological reasoning, method selection, intelligent calculation, and reliability of results analysis, spatial expression of results and continuous execution throughout the process are the basic ideas and methods for intelligent evaluation of shale gas resources. Intelligent evaluation with powerful functions and continuous implementation throughout the whole process is the basic direction of the development of shale gas resource evaluation, which requires continuous accumulation and practice on the basis of existing technologies to promote the development of shale gas resource evaluation methods and technologies in a wider range.