Database technology for deep marine clastic characterisation: upscaling for impact

用于深海碎屑表征的数据库技术：影响升级

基本信息

批准号：
NE/P01691X/1
负责人：
William McCaffrey
金额：
$ 12.78万
依托单位：
University of Leeds
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FP01691X%2F1
关键词：
Database technology deep marine clastic

项目摘要

The geological characteristics of subsurface sedimentary rocks control the amount of oil, gas and/or water present within them (as hydrocarbon reservoirs or aquifers), and how such fluids will flow. Petroleum geologists build three-dimensional numerical models to assess the likely amount and flow rates of oil and gas and optimum well locations. These models ultimately determine whether hydrocarbon production is successful. (Hydrogeologists develop corresponding geological models to predict water yield or contaminant transport, in order to inform aquifer exploitation and clean-up; such models are also required to assess the feasibility of programmes of underground carbon capture and storage). When these models are built, geologists have available only limited direct subsurface data with which to constrain the type and geometry of subsurface geological bodies and thus their fluid-flow characteristics. To complement the sparse direct data, exposed outcrops of similar types of rocks, or modern sedimentary environments where comparable sediments are deposited, can be used as 'analogues' to hydrocarbon reservoirs or aquifers. These analogues provide proxy information regarding geological features that determine reservoir or aquifer heterogeneity. Within a reservoir or aquifer, these geological heterogeneities exert a primary control on well connectivity, flow rates, and behaviour to production or clean-up strategies, thereby dictating how much oil or gas is likely to be produced from a reservoir, or whether contaminants are successfully removed from the groundwater. Quantitative analogue data on these geological heterogeneities are required as input for constraining geological models of the subsurface. The derivation of this type of data from databases is an integral part of subsurface modelling workflows, but current approaches are inadequate because of the limited volume and quality of data stored in existing databases, and their current poor integration with existing modelling tools.The Leeds IP consists of three different relational databases that contain analogue data about types of rock volumes that constitute the building blocks of geological models of reservoirs or aquifers; each database relates to a particular geological setting. All data are stored in a format that allows quantitative output to be produced, in forms that can be fed into all the common numerical methods used to build models of subsurface heterogeneity. The technology of the IP surpasses similar databases in terms of data quality and format. The fact that a fuller characterisation of sedimentary heterogeneity is achieved by these databases enables the derivation of the output required by existing modelling algorithms: this makes the IP unique in its class.However, the current value of the combined IP is limited by the relative underdevelopment of the Deep Marine Clastic database, and its current inability to integrate fully with software platforms employed to generate and manage geological models of the subsurface, such as Schlumberger's Petrel. Thus, the up-scaling of this database and the development of an interface for the optimal integration of the Deep Marine Clastic database with Petrel are key requirements for making this IP marketable, and leveraging the full value of the integrated databases. Upon successful development, the IP will enable easy access and application of large volumes of high-quality data in the area of Deep Marine Clastics, in parallel with that from other environments. This technology will aid geologists and engineers in the hydrocarbon and water-management industries in the generation of geologically sensible reservoir and aquifer models. The project will be undertaken by Marco Patacci, currently a PDRA at Leeds, and supervised by Bill McCaffrey, who is a sedimentologist and director of the Turbidites Research Group, and Nigel Mountney (sedimentologist).

地下沉积岩的地质特征控制着其中存在的油，天然气和/或水的量（作为碳氢化合物储层或含水层），以及这种流体如何流动。石油地质学家建立了三维数值模型，以评估石油和天然气的可能数量和流速以及最佳井位置。这些模型最终决定了碳氢化合物的产生是否成功。（水文地质学家开发了相应的地质模型来预测水产量或污染物的运输，以告知含水层的开发和清理；还需要进行此类模型来评估地下碳捕获和存储计划的可行性）。建立这些模型后，地质学家仅使用有限的直接地下数据来限制地下地质物体的类型和几何形状，从而限制了其流体流量特征。为了补充稀疏的直接数据，可以将类似类型的岩石露头或现代沉积沉积物沉积的现代沉积环境用作碳氢化合物储层或含水层的“类似物”。这些类似物提供了有关确定储层或含水层异质性的地质特征的代理信息。在储层或含水层中，这些地质异质性对生产或清理策略的井连通性，流速和行为产生了主要控制，从而决定了储层中可能产生多少石油或天然气，或者是否成功地从地下水中移出了污染物。需要有关这些地质异质性的定量模拟数据作为约束地下地质模型的输入。从数据库中推导此类数据是地下建模工作流的组成部分，但是当前的方法是不足的，因为存储在现有数据库中的数据的数量和质量和质量有限，并且当前与现有建模工具的整合不良。LEEDSIP由三种不同的关系数据库组成，这些数据库包含了构成岩石模型的类似模型的类似模型的类似模型的模型，该模型是GEGEIR模型的类型。每个数据库都与特定的地质环境有关。所有数据均以允许产生定量输出的格式存储，形式可以馈入所有用于构建地下异质性模型的常见数值方法中。 IP的技术在数据质量和格式方面超过了相似的数据库。这些数据库实现了沉积异质性的更全面表征的事实可以使现有建模算法所需的输出推导出来：这使得IP在其类别中独一无二。相互组合的IP的当前价值受到限制。 Schlumberger的汽油。因此，该数据库的上规模和开发界面的开发是将深海碎屑数据库与PEREL最佳集成的界面是使该IP可销售的关键要求，并利用了集成数据库的全部价值。成功开发后，与其他环境同时，IP可以轻松访问和应用大量高质量数据。这项技术将帮助地质和工程师在地质上明智的储层和含水层模型中生成碳氢化合物和水管理行业的地质学家和工程师。该项目将由目前位于利兹的PDRA的Marco Patacci进行，并由Bill McCaffrey（Satimentists兼浊养研究小组的负责人）和Nigel Mountney（Satimentsoxt）进行监督。