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The Integration of Data Management and Geological Modelling in a Geothermal SubsurfaceTeam

机译：地下热小组的数据管理与地质建模的集成

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摘要

The lifecycle of a geothermal energy resource can be broadly considered as four phases; exploration, feasibility, development and operation. Each of these phases has its own subsurface challenges, for example, resource delineation, creation of a conceptual model, understanding reservoir dynamics and optimizing production. To solve these challenges, we aim for best practice including the collection, management and interpretation of data feeding into the conceptual and dynamic modelling of the geothermal resource. The key to understanding the subsurface is through the acquisition and interpretation of relevant data. In the geothermal industry large amounts of data are acquired during the full lifecycle of a field. The primary limitation of the utilization of these data are not the acquisition processes themselves, but how these data are internally managed and distributed to those who require it to make informed decisions. This paper will discuss the modern approaches to data management and utilization with focus on the geothermal industry. First the key challenges faced with the amount of data provided from the wellbore will be outlined. Secondly insight into the solutions that exist in adjacent domains such as oil and gas will be explored and finally, with the aid of a case study, it will be shown how this technology has successfully been implemented in the geothermal domain.
机译：地热能源的生命周期可以大致分为四个阶段。探索，可行性，开发和运营。每个阶段都有其自身的地下挑战，例如资源描述，概念模型的创建，了解油藏动态和优化生产。为了解决这些挑战，我们致力于最佳实践，包括收集，管理和解释馈入地热资源概念和动态模型的数据。理解地下的关键是通过获取和解释相关数据。在地热行业中，在整个油田的整个生命周期中都需要采集大量数据。利用这些数据的主要限制不是获取过程本身，而是如何对这些数据进行内部管理并将其分发给需要其做出明智决定的人员。本文将重点讨论地热行业，探讨数据管理和利用的现代方法。首先，将概述井眼提供的数据量面临的主要挑战。其次，将探索对石油和天然气等邻近领域中存在的解决方案的了解，最后，通过案例研究，将展示该技术如何在地热领域中成功实施。

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