G. A. Samdani, S. Rao, Yashwant Moganaradjou, M. Almeida, Mahendra Kunju, E. Upchurch, V. Gupta
{"title":"PMCD作业中的气体运移:仪器井研究提供了基本见解","authors":"G. A. Samdani, S. Rao, Yashwant Moganaradjou, M. Almeida, Mahendra Kunju, E. Upchurch, V. Gupta","doi":"10.2118/212546-ms","DOIUrl":null,"url":null,"abstract":"\n Significant discrepancy exists between the gas migration rates observed during the field applications of Pressurized Mud Cap Drilling (PMCD) and the widely used Taylor bubble velocity correlation. This impacts the fluid logistics planning and design of fluid properties for PMCD applications. Pilot-scale experiments and simulations have shown the importance of wellbore length-scale for estimating gas migration velocity (Samdani et al., 2021, 2022). Therefore, an industry-first well-scale study of gas migration in synthetic-based mud (SBM) was performed using a 5200-ft-deep vertical test-well (9-5/8″ × 2-7/8″ casing/tubing) located at Louisiana State University (LSU) well testing facilities. This test well is instrumented with 4 downhole pressure gauges and distributed temperature/acoustics sensing (DTS/DAS) fiber optic cables which were used to track the migrating gas and to determine its velocity. In a typical test, bottomhole pressure (BHP) was maintained, while gas migrated in a shut-in well. Tests were conducted by varying gas injection rate (10-250 gpm), total gas influx size (10-20 bbl), and BHP (2200-4500 psi). Gas migration rates indicated presence of Taylor bubbles at lower pressures (<2000 psi) and relatively smaller cap-bubbles at higher pressures (>2700 psi). The observation of pressure-dependent flow regime transition in a wellbore is one of the significant outcomes of this study. Changes in gas influx rate also influenced the gas migration velocity as it impacts the gas holdup and the rate at which gas can dissolve in comparison with the injection rate, under the prevailing flow regime. As a result, increase in influx rate led to higher gas migration velocity. A numerical model was also developed incorporating the experimentally observed relationship between pressure and transition of flow regime, to translate the test results into useful information and predictions for field PMCD. For example, the impact of reservoir gas solubility on gas migration rates was determined using this model while using the test-results based on nitrogen gas migration. 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Pilot-scale experiments and simulations have shown the importance of wellbore length-scale for estimating gas migration velocity (Samdani et al., 2021, 2022). Therefore, an industry-first well-scale study of gas migration in synthetic-based mud (SBM) was performed using a 5200-ft-deep vertical test-well (9-5/8″ × 2-7/8″ casing/tubing) located at Louisiana State University (LSU) well testing facilities. This test well is instrumented with 4 downhole pressure gauges and distributed temperature/acoustics sensing (DTS/DAS) fiber optic cables which were used to track the migrating gas and to determine its velocity. In a typical test, bottomhole pressure (BHP) was maintained, while gas migrated in a shut-in well. Tests were conducted by varying gas injection rate (10-250 gpm), total gas influx size (10-20 bbl), and BHP (2200-4500 psi). Gas migration rates indicated presence of Taylor bubbles at lower pressures (<2000 psi) and relatively smaller cap-bubbles at higher pressures (>2700 psi). 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引用次数: 2
摘要
在加压泥浆帽钻井(PMCD)现场应用中观测到的气体运移速率与广泛使用的Taylor气泡速度相关存在显著差异。这影响了PMCD应用的流体物流规划和流体特性设计。中试规模的实验和模拟表明,井筒长度尺度对于估算天然气运移速度非常重要(Samdani et al., 2021, 2022)。因此,在路易斯安那州立大学(LSU)的试井设施中,利用5200英尺深的垂直测试井(9-5/8″× 2-7/8″套管/油管)进行了业内首个合成基泥浆(SBM)中天然气运移的井级研究。该测试井配备了4个井下压力表和分布式温度/声学传感(DTS/DAS)光纤电缆,用于跟踪运移气体并确定其速度。在一个典型的测试中,井底压力(BHP)保持不变,而气体在关井中运移。测试通过不同的注气速率(10-250 gpm)、总气注入量(10-20桶)和BHP (2200-4500 psi)进行。气体运移速率表明在较低压力(2700 psi)下存在泰勒气泡。在井筒中观察到压力相关的流态转变是本研究的重要成果之一。在当前流动状态下,气体流入速率的变化也会影响气体运移速度,因为它会影响气含率和气体溶解速率(与注入速率相比)。因此,随着注入量的增加,天然气运移速度也随之提高。还建立了一个数值模型,结合了实验观察到的压力与流型转变之间的关系,将测试结果转化为现场PMCD的有用信息和预测。例如,利用基于氮气运移的测试结果,利用该模型确定了储层气体溶解度对气体运移速率的影响。在相似条件下,SBM储层天然气运移速率模型结果与现场pmcd数据吻合较好。
Gas Migration in PMCD Operations: Instrumented Well Study Provides Fundamental Insights
Significant discrepancy exists between the gas migration rates observed during the field applications of Pressurized Mud Cap Drilling (PMCD) and the widely used Taylor bubble velocity correlation. This impacts the fluid logistics planning and design of fluid properties for PMCD applications. Pilot-scale experiments and simulations have shown the importance of wellbore length-scale for estimating gas migration velocity (Samdani et al., 2021, 2022). Therefore, an industry-first well-scale study of gas migration in synthetic-based mud (SBM) was performed using a 5200-ft-deep vertical test-well (9-5/8″ × 2-7/8″ casing/tubing) located at Louisiana State University (LSU) well testing facilities. This test well is instrumented with 4 downhole pressure gauges and distributed temperature/acoustics sensing (DTS/DAS) fiber optic cables which were used to track the migrating gas and to determine its velocity. In a typical test, bottomhole pressure (BHP) was maintained, while gas migrated in a shut-in well. Tests were conducted by varying gas injection rate (10-250 gpm), total gas influx size (10-20 bbl), and BHP (2200-4500 psi). Gas migration rates indicated presence of Taylor bubbles at lower pressures (<2000 psi) and relatively smaller cap-bubbles at higher pressures (>2700 psi). The observation of pressure-dependent flow regime transition in a wellbore is one of the significant outcomes of this study. Changes in gas influx rate also influenced the gas migration velocity as it impacts the gas holdup and the rate at which gas can dissolve in comparison with the injection rate, under the prevailing flow regime. As a result, increase in influx rate led to higher gas migration velocity. A numerical model was also developed incorporating the experimentally observed relationship between pressure and transition of flow regime, to translate the test results into useful information and predictions for field PMCD. For example, the impact of reservoir gas solubility on gas migration rates was determined using this model while using the test-results based on nitrogen gas migration. The model results for reservoir gas migration rates in SBM showed a reasonable match with field-PMCD data under similar conditions.