阿曼苏丹国南部油田标准化应力输入下水力裂缝建模与设计效率与可靠性的提高

Ruqaiya Al Zadjali, Sandeep Mahaja, Mathieu M. Molenaar
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引用次数: 0

摘要

水力压裂技术在低渗透致密气储层的PDO中被广泛应用,以提高产量。HF的应用已经扩展到石油南部地区,作为提高采收率和降低成本的常规做法。高频增产措施在阿曼南部的许多勘探区都得到了应用,主要针对的是Gharif、Al Khlata、Karim和Khaleel等砂岩地层,其中大部分已经枯竭。裂缝尺寸受操作、井设计和地下参数的综合影响,如注入流体性质、注入速率、井斜和方位角、岩石力学性质、地层应力(即破裂压力)等。在高频设计和建模中准确估计裂缝压力,提高了高频放置的可靠性,是提高高频生产性能的关键。研究领域的HF处理提供了大量有价值的数据。开发标准化的表格和图表可以简化流程,以高效和一致的方式生成HF建模和设计的输入参数。研究结果有助于制定HF操作的指导方针和工作流程。研究人员分析了阿曼南部100多口井的现场高频数据,得出了破裂压力(BP)、破裂破裂压力(FBP)、瞬时关井压力(ISIP)和裂缝关闭压力(FCP)的大小,并为高频设计建立了输入相关性。在储层压力梯度约为10.8 kPa/mTVD bdf的情况下,估算初始FCP(原位孔隙压力条件)范围为15.6 ~ 16 kPa/mTVD。然而,在HF操作之前,大多数油田都经历了不同程度的枯竭。随着孔隙压力的降低(应力耗尽),储层的水平应力会降低,因此评估FCP的降低是很重要的。枯竭应力路径系数(即FCP变化与孔隙压力变化的比例)是基于历史现场数据得出的,并用于预测FCP的减少,作为未来枯竭的函数。现场数据表明,裂缝压力下降幅度约为孔隙压力变化幅度的50%。在对现有HF数据进行分析的基础上,制定了标准化的图表和表格来估计FCP、FBP和ISIP值。计算了FBP和ISIP与FCP的比值,建立了随深度变化的趋势,为高频规划和设计提供了输入。结果表明,FBP/FCP比值在1.24 ~ 1.35之间,ISIP/FCP比值在1.1 ~ 1.2之间。开发的工作流程和标准化的表格、图表和趋势为高频建模和设计提供可靠的预测输入。结合这些数据,可以优化高频设计参数,并为未来的井建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Efficiency and Reliability of Hydraulic Fracture Modeling and Design with Standardized Stress Inputs for South Oil Fields in Sultanate of Oman
Hydraulic Fracturing (HF) is widely used in PDO in low permeability tight gas formations to enhance production. The application of HF has been expanded to the Oil South as conventional practice in enhancing the recovery and production at lower cost. HF stimulation is used in a number of prospects in the south Oman, targeting sandstone formations such as Gharif, Al Khlata, Karim and Khaleel, most of which have undergone depletion. Fracture dimension are influenced by a combination of operational, well design and subsurface parameters such as injected fluid properties, injection rate, well inclination and azimuth, rock mechanical properties, formation stresses (i.e. fracture pressures) etc. Accurate fracture pressure estimate in HF design and modeling improves reliability of HF placement, which is the key for improved production performance of HF. HF treatments in the studied fields provide large volumes of valuable data. Developing standardized tables and charts can streamline the process to generate input parameters for HF modeling and design in an efficient and consistent manner. Results of the study can assist with developing guidelines and workflow and for HF operations. Field HF data from more than 100 wells in south Oman fields were analyzed to derive the magnitude of breakdown pressure (BP), Fracture Breakdown Pressure (FBP), Instantaneous Shut-In Pressure (ISIP) pressure, and Fracture Closure Pressure (FCP) and develop input correlations for HF design. Estimated initial FCP (in-situ pore pressure conditions) is in the range of 15.6 - 16 kPa/mTVD at reservoir formation pressure gradient of about 10.8 kPa/m TVD bdf. However, most of the fields have undergone variable degree of depletion prior to the HF operation. Horizontal stresses in the reservoir decrease with depletion, it is therefore important to assess the reduction of FCP with reduction in pore pressure (stress depletion). Depletion stress path coefficient (i.e. change on FCP as a fraction of change in pore pressure) was derived based on historic field data and used to predict reduction of FCP as a function of future depletion. Data from this field indicates that the magnitude of decrease in fracture pressure is about 50% of the pore pressure change. Based on the data analysis of available HF data, standardized charts and tables were developed to estimate FCP, FBP, and ISIP values. Ratios of FBP and ISIP to FCP were computed to establish trend with depth to provide inputs to HF planning and design. Results indicate FBP/FCP ratio ranges between 1.24-1.35 and ISIP/FCP ratio ranges between 1.1 to 1.2. Developed workflow and standardized tables, charts and trends provide reliable predictions inputs for HF modeling and design. Incorporating these data can be leveraged to optimize parameters for HF design and modeling for future wells.
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