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Integration of Basin Modeling, Uncertainty Analysis, Hydrocarbon Charge Volume Assessment in Petroleum Exploration Risk Evaluation

机译：盆地建模，不确定性分析，石油勘探风险评估中的不确定性分析，不确定性分析，烃类电荷量评估

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Recent developments in hydrocarbon (HC) exploration have necessitated the strengthening and greater integration of geologic model building. Robust basin modeling requires a two-step procedure consisting of constructing reliable input frameworks that are consistent with available data and geologic interpretations and related geohistory processes and conducting basin simulation tests to explore and determine the confidence level of modeling results. Integrating structural components such as faulting and salt movement is a key element and requires their restoration through time. These restorations impact our understanding of basin development, HC migration patterns, fetch areas, as well as the assessment of potential HC volumes. The granularity or resolution of the stratigraphic input may also alter the modeled migration pattern, including the relative importance of lateral and vertical components and distance. Key modeling input parameters include the source rock distribution through time and space. This input can be developed through the integration of geochemical data with stratigraphy, paleo-bathymetric framework, and other basin specific conditions (e.g., paleolatitude). As a result, a 3-D framework of organic richness and kerogen type can be developed. The restorations and interpretations are imbedded within the basin modeling workflow and iteratively interact with the basin’s burial history modeling. This iterative approach along with the numeric simulator accomplishes the integration and optimization of the input geologic model and directly yields more realistic modeling results consistent with the basin’s specific geology.
机译：烃类勘探最近的发展勘探需要加强和更大的地质模型建设集成。强大的盆地建模需要一个两步的过程，包括构造与可用数据和地质解释以及相关地质译中的可靠输入框架以及相关地理学过程以及进行盆地模拟测试，以探索和确定建模结果的置信水平。整合诸如故障和盐运动的结构部件是关键元素，并且需要通过时间恢复。这些修复体会影响我们对盆地发展，HC迁移模式，获取区域的理解以及潜在的HC卷的评估。地层输入的粒度或分辨率也可能改变建模的迁移模式，包括横向和垂直部件和距离的相对重要性。主要建模输入参数包括通过时间和空间的源岩体分布。该输入可以通过地球化学数据与地层，古碱基框架和其他盆地特定条件（例如，古孔）集成来开发。结果，可以开发有机丰富和基因型的3D框架。在盆地建模工作流程中嵌入了修复和解释，并与盆地的埋藏历史建模迭代地交互。这种迭代方法以及数字模拟器实现了输入地质模型的集成和优化，直接产生与盆地的特定地质一致的更现实的建模结果。

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