将先进的声学测量和地质力学与水力压裂现场数据相结合,有助于改善水力裂缝的几何特征,提高产能

S. Asadi, Riezal Arieffiandhany, P. Setiawan, Hendro Vico, Christine Lorita, A. Mansur, R. Chrislianto, G. Sucahyo
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引用次数: 0

摘要

致密砂岩的水力压裂优化需要一个可靠的储层和边界层的地质力学模型,以实现压裂后的最佳产量。本文以印度尼西亚西北爪哇海上某油田上Cibulakan致密砂岩储层为例进行了研究。油田构造由多层储层砂岩和层间页岩组成。两个砂岩单元的总厚度达60英尺,有效孔隙度为15%,渗透率为8md,目标是进行水力压裂。提出了一种综合方法,利用现有的邻井数据、实时声波测井、校准的地质力学模型、miniFrac和Step-rate测试来优化水力压裂参数和处理计划。在压裂前阶段,利用邻井数据(包括过去miniFrac测试的裂缝闭合压力)为目标层段建立地质力学模型。为了估计储层和边界地层,使用了杨氏模量和泊松比、纵波和偶极横波慢度测井以及邻井的体积密度测井。砂岩层段的孔隙弹性最小水平应力是用闭合压力数据校准的,而页岩边界应力是用区域泄漏压力校准的。结合井眼条件和钻井经验,验证了邻井的最终应力模型。水力压裂目标井为12¼°井眼,井斜度为45度,定向与最大水平应力方位(南北方向)接近平行。利用处理后的声波测井资料对压裂前岩石力学特性进行了修正,验证了静杨氏模量的低范围。对小型降层测试的分析揭示了约250psi的储层压力损耗的重要信息,而邻井的孔隙压力数据没有捕捉到这些信息。对储层孔隙压力剖面进行了修正,并对衰竭致孔隙弹性应力进行了估算。根据miniFrac测试的实际闭合压力数据和实际储层压力校准的应力剖面显示,储层砂岩和边界页岩之间的应力对比高达350 psi,这有利于裂缝的密封。校正后的地质力学模型用于更新主水力压裂的处理计划,包括优化注入支撑剂的尺寸、体积和浓度以及压裂液的体积。综合地质力学建模、声波测井和压裂设计,通过超过计划的产量,成功实现了水力压裂增产。压裂后的生产测试显示,初始产量约为50桶/天,高于增产油藏的预期产量。校准后的地质力学模型为优化支撑剂尺寸和导流能力提供了宝贵的输入,以减少支撑剂嵌入的影响,并根据稳健的最小水平应力剖面正确估计注入支撑剂的体积,以最大限度地减少不必要的垂直裂缝扩展到其他区域(如水)的风险。
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Integrating Advanced Acoustic Measurement and Geomechanics with Hydraulic Fracturing Field Data Helped to Improve Hydraulic Fracture Geometry Characterization and Increase Productivity
Hydraulic fracturing optimisation for tight sandstone requires a reliable geomechanical model in the reservoirs and bounding formations to achieve an optimum production after fracturing. This paper presents a case study of Upper Cibulakan tight sandstone reservoirs in an oil field located in Offshore Northwest Java, Indonesia. Field structure is composed of multiple reservoir sandstones with interlayer shales. Two sandstone units with gross thicknesses up to 60 feet, effective porosity of 15% and permeability of 8 mD were targeted for hydraulic fracturing. An integrated approach is proposed to use available offset wells data, real-time acoustic logs, calibrated geomechanical model, and miniFrac and Step-rate tests to optimise hydraulic fracturing parameters and treatment schedule. In pre-fracturing stage, geomechanical model was developed for target intervals using offset wells data including fracture closure pressures from past miniFrac tests. To estimate the reservoir and bounding formations Young’ modulus and Poisson's ratio, compressional and dipole shear wave slowness logs as well as bulk density logs from offset wells were used. Poroelastic minimum horizontal stress in the sandstone intervals was calibrated with closure pressure data while bounding shale stress was calibrated with regional leak-off pressures. The final stress model of offset wells was verified with the borehole condition and drilling experiences. Target well for hydraulic fracturing was drilled with a 12¼° wellbore, 45 degrees deviated and oriented sub-parallel to maximum horizontal stress azimuth (north south). Processed acoustic logs were used to revise the pre-frac rock mechanical properties which verified the low ranges of static Young's modulus. Analysis of mini fall-off tests revealed important information about reservoir pressure depletion of ~250 psi which was not captured by offset wells pore pressure data. Pore pressure profile across the reservoirs was modified and depletion induced poroelastic stresses were estimated. Stress profile calibrated with actual closure pressure data from miniFrac test integrated with actual reservoir pressure revealed the stress contrast of up to ~350 psi between reservoir sandstones and bounding shales, which is favorable for fracture containment. Calibrated Geomechanics model was used to update the treatment schedule for main hydraulic fracturing including optimisation of size, volume and concentration of injected proppants and volume of fracturing fluid. Integrated Geomechanics modelling with acoustic logging and fracturing design enabled to achieve a successful hydraulic fracturing stimulation by exceeding the planned production rate. Post fracturing production test showed initial rate of approximately 50-barrel oil per day (bbl/d) higher than expected production rate from stimulated reservoir volume. Calibrated geomechanics model provided valuable inputs for proppant size and conductivity optimisation to reduce the effects of proppant embedment as well as proper estimation of injected proppant volume based on robust minimum horizontal stress profile to minimize the risk of unwanted vertical fracture propagation to other zones such as water.
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