A Comprehensive Ensemble Modelling Study to Evaluate Subsurface Uncertainties Associated With Tangguh CO2 Enhanced Gas Recovery (EGR) Project to Deliver a Robust and Quality-Optimized Development Plan

A. Dewanto
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Abstract

Tangguh Field, in Bintuni Bay, Papua Barat Province, Indonesia, commenced development following a successful exploration program in the 1990s. Tangguh has been on production since 2009 through development of two liquified natural gas (LNG) trains (Kasim, Titus, Roberts, & Bulling, 2000). Full development includes a third LNG train with the expected first gas in 2023 and Enhanced Gas Recovery (EGR) and Carbon Capture Utilization and Storage (CCUS) in 2026. EGR/CCUS fits within the Government of Indonesia’s (GoI) gas production and carbon emissions reduction targets by 2030. The EGR/CCUS project will inject approximately 90% of reservoir CO2 back into the reservoir in the southwest part of Vorwata Field. Reservoir CO2, that is currently vented, will be captured from the Acid Gas Removal Unit, compressed, flowed via a subsea pipeline to an offshore facility, and then to injection wells. The CO2 is injected at supercritical conditions, to increase gas production and recoverable reserves through pressure maintenance and gas displacement mechanisms. Understanding the subsurface uncertainties and their impacts on production and operations are essential for optimizing field development plans and mitigating risks. The key risks to CO2 injection/capture are early CO2 breakthrough and reduced hydrocarbon recovery. bp’s proprietary Top-Down Reservoir Model (TDRMTM) based ensemble modeling workflow successfully assesses subsurface uncertainties, matches historical performance, and quantifies the value associated with the EGR/CCUS development. TDRMTM driven assisted history matching algorithm was matched the model against 12 years of historical production. Match qualities associated with historical rates and pressures were used as screening criteria to obtain a robust ensemble of history-matched models and ensure a healthy and sufficient exploration of uncertainties. The resulting metrics include the range of net hydrocarbon incremental gas recoverable, CO2 breakthrough times at offset producers, and CO2 sequestration volumes. Results from the ensemble-driven study have enabled a robust development plan, particularly associated with the
一项综合建模研究,以评估与Tangguh CO2提高天然气采收率(EGR)项目相关的地下不确定性,从而提供一个稳健且质量优化的开发计划
Tangguh油田位于印度尼西亚巴布亚巴拉特省Bintuni湾,在20世纪90年代成功勘探后开始开发。Tangguh自2009年以来一直通过开发两条液化天然气(LNG)列车(Kasim, Titus, Roberts, & Bulling, 2000年)投入生产。全面开发包括第三条液化天然气列车,预计将于2023年推出第一批天然气,并于2026年推出增强气体回收(EGR)和碳捕集利用与封存(CCUS)。EGR/CCUS符合印度尼西亚政府(GoI)到2030年的天然气生产和碳减排目标。EGR/CCUS项目将把大约90%的储层二氧化碳注入Vorwata油田西南部的储层。目前排放的储层二氧化碳将从酸性气体去除装置中捕获,经过压缩,通过海底管道输送到海上设施,然后进入注水井。在超临界条件下注入二氧化碳,通过维持压力和气体驱替机制来增加天然气产量和可采储量。了解地下不确定性及其对生产和运营的影响对于优化油田开发计划和降低风险至关重要。CO2注入/捕集的主要风险是CO2过早突破和油气采收率降低。bp专有的基于自顶向下油藏模型(TDRMTM)的集成建模工作流程成功地评估了地下不确定性,匹配了历史性能,并量化了与EGR/CCUS开发相关的价值。利用TDRMTM驱动的辅助历史匹配算法对模型进行了12年的历史生产匹配。与历史速率和压力相关的匹配质量被用作筛选标准,以获得历史匹配模型的强大集合,并确保对不确定性进行健康和充分的探索。由此产生的指标包括净碳氢化合物增量可采气体的范围、抵消生产商的二氧化碳突破时间和二氧化碳固存量。整体驱动研究的结果使一个强大的开发计划成为可能,特别是与
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