Global geologic expert system and database for predicting carbonate reservoirs from seismic: Application to the Upper Jurassic

Omar Nacef, Julien Michel, Jean Borgomano, Bertrand Martin-Garin
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Abstract

Carbonate systems are influenced by a great variety of physical and biological controlling factors that operate from global to local scales. The resulting intrinsic complexity of carbonate platforms makes them difficult to predict, especially when data are limited. Predicting geologic geometries and properties based on limited sampling or uncalibrated seismic data generally relies on a priori knowledge and equivocal interpretations that are marked by geologist perception and personal experience. To overcome these uncertain interpretations of such a complex natural system, which can become critical in frontier exploration, we developed an expert system that relies on a process-based method and a standardized data set using normalized information and parameters. The main innovation relies on the realization of knowledge- and process-based synthetic carbonate stratigraphic architectures that support seismo-stratigraphic interpretations. The workflow consists of four steps: (1) bibliographic compilation of a geologic database for each case study supported by quantitative parameters (e.g., sedimentation duration and thickness) and qualitative parameters (geodynamic context, seismic architecture, and facies model); (2) statistical analyses to establish consistent geologic classes and spatiotemporal trends; (3) process-based modeling to simulate stratigraphic architectures associated with carbonate sedimentation processes in a physically constrained numerical environment and testing different geologic hypotheses; and (4) realization of a predictive palaeogeographic map representing the global distribution of carbonate stratigraphic architectures, and estimation of controlling parameters for unconstrained case studies. The expert system is based on 77 case studies of Upper Jurassic carbonate platforms, which reveal the resemblance of these carbonate systems, in response to uniform global palaeoclimatic conditions and sea level. Significant local differences in stratigraphic architectures are related to specific geodynamic contexts and subsidence trends. The thickest carbonate platforms are developed in extensive/passive geodynamic settings such as the Central Atlantic Ocean margins, while thinner platforms form in intra- and peri-cratonic settings such as those of the Arabian region.
根据地震预测碳酸盐岩储层的全球地质专家系统和数据库:在上侏罗世的应用
碳酸盐系统受到从全球到局部范围内多种物理和生物控制因素的影响。碳酸盐平台的内在复杂性使其难以预测,尤其是在数据有限的情况下。根据有限的取样或未经校准的地震数据来预测地质几何形状和属性,通常依赖于先验知识和以地质学家的感知和个人经验为标志的模棱两可的解释。为了克服对这种复杂自然系统的不确定解释(这在前沿勘探中至关重要),我们开发了一种专家系统,该系统依赖于基于过程的方法和使用标准化信息和参数的标准化数据集。其主要创新在于实现了基于知识和流程的合成碳酸盐岩地层结构,为地震地层解释提供了支持。工作流程包括四个步骤(1) 根据定量参数(如沉积持续时间和厚度)和定性参数,为每个案例研究汇编地质数据库、(2) 统计分析,以确定一致的地质类别和时空趋势;(3) 基于过程的建模,在物理约束的数值环境中模拟与碳酸盐岩沉积过程相关的地层结构,并测试不同的地质假说;以及 (4) 实现代表全球碳酸盐岩地层结构分布的预测性古地理图,并估算无约束案例研究的控制参数。该专家系统以 77 个上侏罗世碳酸盐岩平台的案例研究为基础,揭示了这些碳酸盐岩系统在全球统一的古气候条件和海平面作用下的相似性。地层结构的显著局部差异与特定的地球动力学背景和沉降趋势有关。最厚的碳酸盐平台发育在广阔/被动的地球动力环境中,如大西洋中部边缘,而较薄的平台则形成于内部和近地壳运动环境中,如阿拉伯地区。
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