高CO2油田与贫CO2油田地球化学反应导致孔隙度变化的比较

Wan Muhammad Luqman Sazali, Sahriza Salwani Md Shah, M. S. Misnan, M. Z. Kashim, Ahmad Faris Othman, B. Kantaatmadja
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引用次数: 0

摘要

在开发高二氧化碳油田时,油气公司必须考虑最佳和最经济的碳捕集与封存(CCS)计划。在考虑了储存地点的距离和储存能力后,马来西亚国家石油公司确定了两个碳酸盐岩油田,即马来西亚东部的X油田和N油田,作为潜在的二氧化碳储存地点。有趣的是,这两个气田是不同的,X气田是一个高二氧化碳的绿色气田,而N气田是一个枯竭的气田。研究小组最初的假设是,由于X油田的二氧化碳已经饱和,因此与X油田相比,N油田的二氧化碳、卤水和碳酸盐之间的地球化学反应会更严重。为了验证这一假设,从这两个油田中选择样品进行静态间歇反应分析,并使用数字核心分析(DCA)确定孔隙度的变化。X、N气田均为碳酸盐岩气田,含含水层位于含气层下方。含水层是较好的CO2注入区,因为含水层越深,烟柱迁移发生的时间越长。进行静态间歇反应分析时,每个油田的样品均取自含水层。经过常规岩心分析(RCA)和质量控制(QC)后,在高分辨率微ct扫描下对样品进行扫描,然后将其饱和到相应的合成盐水中。饱和完成后,将卤水和样品放入间歇式反应器中,反应器的压力和温度根据现场的压力和温度设定。一旦稳定,将超临界二氧化碳注入盐水中,并持续观察45天。在超临界CO2老化后,样品再次在微ct扫描下进行扫描,使用相同的分辨率,然后通过图像处理软件进行分析。利用配准算法软件,对CO2老化前后的图像进行数字重叠和相减。对不同图像进行分析,以确定孔隙度的变化。X油田样品孔隙度增加约1% p.u.,而N油田样品孔隙度增加2% p.u.。根据假设,N场(贫场)的反应高于X场(高CO2),但差异非常小,远远小于预期。在分析中使用DCA使团队能够确定CO2间歇反应过程中发生的微小变化。在没有DCA的情况下,这1%的变化通常被视为设备的误差范围。下一步将是建模,其中实验室结果将扩大到现场规模,模拟更长的时间。因此,虽然在实验室条件下,X场和N场之间的孔隙度变化很小,但在现场尺度下,其影响会更大。
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Comparison of Porosity Change Due to Geochemical Reaction between Samples from High CO2 Field and Depleted Field
When developing a high CO2 field, oil and gas companies must consider the best and most economical carbon capture and storage (CCS) plan. After considering the distance of the storage site and storage capacity, PETRONAS has identified 2 carbonate fields, known as X Field and N Field in East Malaysia as the potential CO2 storage site. Interestingly, both fields are different, as X field is a high CO2 green field, while N field is a depleted gas field. The research team’s initial hypothesis is that N Field would have more severe geochemical reaction between CO2, brine and carbonates compared to X Field, since X field is already saturated with CO2. In order to test the hypothesis, samples from these two fields were selected to undergo static batch reaction analysis, and changes in porosity were determined using Digital Core Analysis (DCA). Both X and N fields are carbonate gas fields, with aquifer zone located below gas zones. The aquifer zones are the preferable CO2 injection zone because the deeper the zone, the longer it will take for the plume migration to happen. For static batch reaction analysis, samples each field were selected from the aquifer zone. After Routine Core Analysis (RCA) and Quality Control (QC), the samples were scanned under the high resolution microCT scan, before they were saturated into the respective synthetic brine. After saturation is completed, both brine and samples were placed inside a batch reactor, where the reactor’s pressure and temperature are set according to the field’s pressure and temperature. Once stabilized, the supercritical CO2 is injected into the brine, and was left for 45 days with constant observation. After aging with supercritical CO2, the samples were then scanned under microCT scan once again, using the same resolution, before being analysed via image processing software. Using registration algorithm software, both pre and post CO2 aging images were overlapped and subtracted digitally. The difference images were analyzed to determine the change in porosity. Samples from X Field has around 1% p.u. increase in porosity, while samples from N field shows increment of 2% p.u. porosity. While N field (depleted field) has higher reaction compared to X field (high CO2) field as per hypothesis, the difference is very minimal, which is much less than expected. The usage of DCA in the analysis enabled the team to determine minute changes that were happening during CO2 batch reaction. Without DCA, the 1% changes usually regarded as equipment’s error margin. The next step would be modelling, where the lab results will be upscaling into field scale, for modelled longer period of time. Hence, although the porosity changes between X and N field are very small under laboratory condition, it can have greater impact in field scale.
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