Reservoir Management Optimization Model Employing Combination Deterministic and Probabilistic Approach for Carbon Sequestration Storage and Utilization: A Case Study from East Natuna

J. R. Cherdasa, T. Ariadji, B. Sapiie, Ucok W. R. Siagian
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Abstract

East Natuna is well known for its huge natural gas reserves with a very high CO2 content. The appearance of CO2 content in an oil and gas field is always considered as waste material and will severely affect the economic value of the field. The higher the content, the more costly the process, both technically and environmentally. In this research, the newly proposed reservoir management approach called CSSU (Carbon Sequestration Storage and Utilization) method is trying to change the paradigm of CO2 from waste material into economic materials. The novelty of this research is the combined optimization of deterministic and stochastic methods with the Particle Swarm Optimization (PSO) algorithm to answer complex and non-linear problems in the CSSU (Carbon Sequestration Storage and Utilization) method. The CSSU method is an integration of geological, geophysical, reservoir engineering and engineering economics with the determination of technical and economic optimization of the use of CO2 produced as working fluid in a power generation system that has been conditioned through an injection-production system in geological formations. The CSSU research area is located in a sedimentary basin that has a giant gas field with 70% CO2 content. The Volumetric Storage Capacity for CO2 injection process in research area is 1,749.14 BCF or 94.01 MMTon which being calculated based on static modeling considering geological, geophysical and petrophysical aspects. A combination of Compositional, Geomechanics and Thermal reservoir simulation model had been conducted to determines the Storage Injection capacity and later to prove the CSSU method in which CO2 fluids will be utilized as working fluid, 1 case was built using 2 Injection Wells and 1 CO2 fluid Production Well. The simulation results show with 1 production well the total of CO2 fluid injected from 2 Injection wells can almost double the injection total capacity up to 1,150 BCF. The utilization of supercritical CO2 fluid as working fluid can produce 55 – 133.5 MMBTU/Day or 0.67 - 1.63 MW from 1 production well for 25 years timeframe. The CSSU method is optimized by deterministic and stochastic methods using the Particle Swarm Optimization (PSO) algorithm by looking the technical and economical aspects. The technical optimization aspect is being analyzed by electricity production versus well counts. The economical optimization is being analyzed by operational expenditure saving versus well counts and electricity produced versus NPV 10%. From both aspects the 4 injector wells case and NPV 200.00 MM US$ gives the most optimum result within technically and economically. The CSSU economic model proved with CSSU scheme the economical value is being increased by 57 MMUS$ after operating cost efficiency due to the electricity savings, 92 MMUS$ due to Carbon Trading which resulting the NPV 10% is 172.77 MMUS$.
基于确定性与概率相结合的固碳储存与利用水库管理优化模型——以东纳土纳为例
东纳土纳以其巨大的天然气储量和非常高的二氧化碳含量而闻名。油气田中CO2含量的出现一直被认为是一种废弃物,将严重影响油气田的经济价值。含量越高,工艺成本就越高,无论是技术上还是环境上。在本研究中,新提出的水库管理方法CSSU (Carbon sequstration Storage and Utilization)方法试图将二氧化碳从废物转化为经济材料。本研究的新颖之处在于将确定性和随机方法与粒子群优化(PSO)算法相结合,以解决碳封存与利用方法中的复杂非线性问题。CSSU方法是地质、地球物理、油藏工程和工程经济学的综合,通过地质地层的注采系统,确定发电系统中作为工作流体使用二氧化碳的技术和经济优化。CSSU研究区位于沉积盆地,具有二氧化碳含量达70%的巨型气田。研究区二氧化碳注入过程的体积存储容量为1749.14 BCF (94.01 mmt),基于静态建模计算,考虑了地质、地球物理和岩石物理因素。为了确定储层注入能力,建立了储层成分、地质力学和油藏热模拟模型,并在此基础上验证了利用CO2流体作为工作流体的CSSU方法,采用2口注入井和1口CO2流体生产井建造了1个案例。模拟结果表明,在1口生产井中,2口注水井注入的CO2流体总量几乎可以使注入总容量增加一倍,达到1150 BCF。利用超临界CO2流体作为工作流体,在25年的时间内,一口生产井可以产生55 - 133.5 MMBTU/天或0.67 - 1.63 MW。从技术和经济的角度出发,采用确定性和随机粒子群算法对CSSU方法进行了优化。技术优化方面正在通过发电量与井数进行分析。通过节省的运营支出与井数的对比,以及生产的电力与NPV的对比,对经济优化进行了分析。从这两个方面来看,4口注水井和200万美元的净现值在技术和经济上都是最优的。CSSU经济模型证明,CSSU方案的经济价值增加了57 MMUS$,其中由于节省了电力,节省了运营成本效益,由于碳交易,经济价值增加了92 MMUS$, NPV为10%,为172.77 MMUS$。
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