A Pool-Based Model of the Spatial Distribution of Undiscovered Petroleum Resoufrces

被引：3

作者：

Haiyu Gao

Zhuoheng Chen

Kirk G. Osadetz

Peter Hannigan

Cameron Watson

机构：

[1] Geological Survey of Canada (Calgary),Energy and Environment Subdivision

[2] Geological Survey of Canada (Calgary),Energy and Environment Subdivision

[3] Geological Survey of Canada (Calgary),Energy and Environment Subdivision

[4] Geological Survey of Canada (Calgary),Energy and Environment Subdivision

来源：

Mathematical Geology | 2000年 / 32卷

关键词：

object-based model; stochastic modeling; resource assessment; Hastings algorithm; convergence rate; entropy;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

An approach is proposed to predict the spatial distributions of undiscovered petroleum resources. Each pool is parameterized as a marked-point. The independence chain of the Hastings algorithm is used to generate an appropriate structure for pool combinations in a play. Petroleum-bearing favorability estimated from geological observations is used to represent the sampling probabilities of pool locations. An objective function measuring the distance between characteristics of the realization and constraints is constructed from both the pool size distribution and entropy maximum criterion, in which the entropy criterion places all undiscovered pools in the most favorable positions. The geometrical convergence property of the proposed Hastings algorithm is presented. The method is illustrated by a case study from the Western Canada Sedimentary Basin.

引用

页码：725 / 749

页数：24

共 64 条

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