有限数据枯竭气藏中用于储层容量评估和注入优化的CO2封存-案例研究

Michael Nashaat Kaldas, Bryan Saunders, A. Nasiri, Stacia Barben
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引用次数: 0

摘要

温室气体对我们在地球上的生命是一个很大的威胁,因为它们吸收红外辐射,导致大气中的热量被捕获,使我们的星球变暖。二氧化碳(CO2)是人类排放的主要温室气体之一。其中一些气体自然存在于大气中,但人类活动改变了它们的浓度。根据美国环境保护署《美国温室气体排放和汇清单:1990-2020》,“从工业化前时代(即约1750年结束)到2020年,这些温室气体的浓度在全球范围内分别增加了47.9%、168.4%和23.3% (IPCC 2013;NOAA/ESRL 2022a, 2022b, 2022c)”。二氧化碳的排放有不同的来源,后面会提到。碳捕获和封存(CCS)技术被认为是保护大气不受这些排放影响的实用选择。这是通过从其来源捕获二氧化碳,将其运送到注入位置,然后将其隔离到深层地层中来实现的。这些二氧化碳可以注入含盐含水层或枯竭的油气储层中进行储存,也可以分别注入生产中的油气储层中以提高油气采收率。从地下的角度来看,在选择任何储层时都需要考虑三个关键参数:存储容量存储容器CO2注入率本文研究了一个开采至废弃压力的枯竭凝析气藏的CO2封存情况。该项目的目的是为路易斯安那州Castex能源公司的碳封存项目提供详细的场地特征和储层模拟。casstex Energy正在寻求开发一个二氧化碳注入中心,以支持路易斯安那州南部地区第三方来源提供的二氧化碳的永久地质封存。CCS项目将利用路易斯安那州南部水域一个枯竭气藏的面积。这一阶段的最终目标是建立地质模型,并进行初步的油藏模拟,这将是建立应用程序所需的六级许可证。建立静态模型并生成静态属性(相、孔隙度和渗透率)的几种实现:这是提出许多实现以捕获静态模型数据不确定性的关键步骤。采用P/Z分析方法,结合静态不确定参数和动态不确定参数对模型进行调优,了解初始气在地历史拟合,评价储层储气量,优化CO2注入性能和羽流运动,该模型是量化储层储气量、了解储层CO2注入能力和羽流运动的有力工具。该研究的关键建议之一是对结构模型进行详细分析,因为最终的羽流位置对结构解释很敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CO2 Sequestration in a Limited-Data Depleted Gas Reservoir for Reservoir Capacity Assessment and Injection Optimization - Case Study
Greenhouse gases are a big risk to our life on the planet, as they absorb the infrared radiation which results in trapping the heat in the atmosphere and making our planet warmer. Carbon dioxide (CO2) is one of the key and major greenhouse gases that are emitted by humans. Some of these gases occur naturally in the atmosphere, but human activities have changed their concentrations. As per the U.S. Environmental Protection Agency, Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2020 "From the pre-industrial era (i.e., ending about 1750) to 2020, concentrations of these greenhouse gases have increased globally by 47.9, 168.4, and 23.3 percent, respectively (IPCC 2013; NOAA/ESRL 2022a, 2022b, 2022c)". There are different sources of CO2 emissions as will be mentioned later. Carbon capture and sequestration (CCS) technologies are considered a practical option to protect the atmosphere from these emissions. This is done through capturing the CO2 from its sources, transporting it to the injection location and then sequestrate it into deep formations. This CO2 could be injected in saline aquifers or depleted oil and gas reservoirs for storing purposes or it could be injected in producing oil and gas reservoirs for enhanced oil and gas recovery respectively. From the subsurface perspective, there are three key parameters that needs to be considered in the selection of any reservoir: Storage Capacity Storage Containment CO2 Injectivity This paper is a case study of CO2 sequestration in a depleted gas condensate reservoir that was produced down to abandonment pressure. The objective of the project was to deliver a detailed site characterization and reservoir simulation for a Carbon Sequestration program for Castex Energy in Louisiana. Castex Energy is pursuing the development of a CO2 injection hub to support permanent geological sequestration with CO2 supplied from third party sources in the southern Louisiana area. The CCS project will utilize acreage from a depleted gas reservoir in state waters in southern Louisiana. The ultimate objective of this phase of the project is to create a geological model and conduct preliminary reservoir simulations that will be required for Class VI permit to construct the applications. This has been implemented through the following key tasks: Building the static model and generate several realizations for the static properties (Facies, Porosity and Permeability): this was a key step to come up with many realizations to capture the static model data uncertainty. Implementing P/Z analysis to have a good understanding about the initial gas in place History matching though tuning the model by combining the static and dynamic uncertain parameters Evaluating the reservoir storage capacity and optimizing the CO2 injection performance and plume movement The model was a very powerful tool to quantify the reservoir storage capacity and to have a good understanding about the CO2 injectivity and plume movement in the reservoir. One of the key recommendations of the study was to implement a detailed analysis on the structure model, as the ultimate plume location is sensitive to the structural interpretation.
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