A Convenient Technology to Calculate Geomechanical Properties From Drilling Data

M. Tahmeen, G. Hareland, J. Hayes
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引用次数: 1

Abstract

The multistage hydraulic fracturing is the best practice to stimulate unconventional hydrocarbon reservoirs for optimal production. Recent studies suggested that selective stimulation design could significantly increase production rates at a reduced cost rather than using non-selective geometric stages. An optimal design needs detailed logging and core information to selectively perforate and optimize the stimulation treatment. In most cases, the non-selective evenly spaced geometric stimulation design is used, primarily due to the time consuming and expensive conventional logging tools and techniques. In this article, a 3D wellbore friction model is used to estimate the effective downhole weight on bit (DWOB) from the drilling data, directional survey data and drill string information. The estimated DWOB is used as an input to the inverted rate of penetration (ROP) model along with other drilling data, drill bit specifications and reservoir specific formation constants, to calculate rock mechanical and reservoir properties including, compressive strength, Young’s modulus, porosity, permeability and Poisson’s ratio without the use of expensive downhole logging tools. The rock brittleness index is calculated from the relationship between Young’s modulus and Poisson’s ratio based on the definitions of rock brittleness used in recent years. The field data from horizontal drilling of three sample wells were used to investigate the geomechanical properties in the Montney shale formation and the lower Eagle Ford formation in North America. The calculated geomechanical properties were compared to the corresponding test analysis on cores. The authors investigated the rock brittleness index from the sample well data drilled horizontally in the lower Eagle Ford formation. This novel technology could help geologists and reservoir engineers better exploit unconventional reservoirs leading to optimal selective stimulations and greater net present value (NPV).
一种利用钻井数据计算地质力学特性的便捷技术
多级水力压裂是非常规油气藏增产的最佳方法。最近的研究表明,选择性增产设计可以显著提高产量,同时降低成本,而不是使用非选择性的几何级数。优化设计需要详细的测井和岩心信息,以选择性射孔和优化增产措施。在大多数情况下,采用非选择性等间距几何增产设计,主要是由于传统测井工具和技术耗时且昂贵。本文采用三维井筒摩擦模型,根据钻井数据、定向测量数据和钻柱信息估算有效井下钻压(DWOB)。估计的钻压可作为反钻速(ROP)模型的输入,与其他钻井数据、钻头规格和储层特定地层常数一起,计算岩石力学和储层性质,包括抗压强度、杨氏模量、孔隙度、渗透率和泊松比,而无需使用昂贵的井下测井工具。根据近年来常用的岩石脆性定义,根据杨氏模量与泊松比的关系计算岩石脆性指数。利用3口水平钻井样品井的现场数据,研究了北美Montney页岩地层和Eagle Ford下地层的地质力学性质。将计算得到的地质力学性能与岩心相应的试验分析结果进行了对比。通过对Eagle Ford地层下部水平钻取的样品井数据,研究了岩石脆性指数。这项新技术可以帮助地质学家和油藏工程师更好地开发非常规油藏,从而实现最佳的选择性增产和更高的净现值(NPV)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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