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Utilizing Surface Drilling Data to Generate Geomechanical Values for Use in Drilling and Stimulation Design

机译：利用地面钻探数据生成地质力学值，用于钻探和增产设计

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摘要

Geomechanical properties are important for reservoir characterization, drilling operations and optimal stimulation design in the oil and gas industry. The conventional techniques to obtain rock mechanical data involve core analysis and/or downhole acoustic/wire-line logging equipment and operations. These techniques can be expensive and sometimes uncertain to process for unconventional reservoirs. In this study, a convenient and cost- effective technique is presented that uses routinely available drilling data to calculate geomechanical properties without the need for downhole logging operations. The calculated rock property logs are compared to test values obtained from log and core values in a similar geological formation. The method uses a 3D wellbore friction model to estimate the coefficient of friction and effective downhole weight on bit (DWOB) from the routinely collected drilling data. An inverted rate of penetration (ROP) model uses the calculated DWOB and formation lithology constants to calculate the geomechanical properties throughout the horizontal reservoir formations such as confined compressive strength (CCS), unconfined compressive strength (UCS), Young's modulus (E), permeability, porosity and Poisson's ratio. The ROP model also takes into account drill bit information including bit type, bit wear and drill bit cutting structure along with the surface measurements of rate of penetration (ROP), flow rate and motor RPM. The routinely collected depth-based and time-based drilling data and additional data from daily drilling reports are used to calculate the geomechanical properties versus depth. This approach is compared to typical rock core and log analysis. The information obtained in the geomechanical logs can be used as design criteria to assist with improving the efficiency and effectiveness of the stimulation design which could help optimize the hydraulic fracturing process and flow potential of the well. The geomechanical logs obtained from the surface drilling data can be used as a valuable tool to optimize the completion (stimulation design) of the hydrocarbon reservoir to maximize operational net present value (NPV). A field case study is presented for a sample well in lower Eagle Ford formation. The calculated geomechanical property log is also verified with tests performed on cores in reservoir rock formations.
机译：地质力学特性对于油气行业的储层表征，钻井作业和最佳增产设计至关重要。获取岩石力学数据的常规技术涉及岩心分析和/或井下声波/有线测井设备和操作。这些技术可能很昂贵，对于非常规油藏来说有时不确定。在这项研究中，提出了一种方便且具有成本效益的技术，该技术使用常规可用的钻井数据来计算地质力学特性，而无需进行井下测井作业。将计算出的岩石特性测井结果与从类似地质构造中的测井值和岩心值获得的测试值进行比较。该方法使用3D井眼摩擦模型从常规收集的钻探数据估算摩擦系数和有效的井下钻压（DWOB）。反向渗透率（ROP）模型使用计算出的DWOB和地层岩性常数来计算整个水平储层的地质力学特性，例如承压强度（CCS），无承压强度（UCS），杨氏模量（E），渗透率，孔隙率和泊松比。 ROP模型还考虑了钻头信息，包括钻头类型，钻头磨损和钻头切割结构，以及渗透率（ROP），流量和电机RPM的表面测量值。常规收集的基于深度和基于时间的钻探数据以及来自每日钻探报告的其他数据用于计算岩土力学特性与深度的关系。将该方法与典型的岩心和测井分析进行了比较。地质力学测井中获得的信息可以用作设计标准，以帮助提高增产设计的效率和有效性，从而有助于优化水力压裂过程和井的流动潜力。从地表钻井数据获得的地质力学测井可以用作有价值的工具，以优化油气藏的完井（增产设计），以最大化运营净现值（NPV）。现场案例研究针对较低的Eagle Ford地层的一口样品井。还通过对储层岩层中的岩心进行测试，验证了计算出的地质力学特性测井。

著录项

  • 作者

    Love, Joshua M.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Petroleum engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 48 p.
  • 总页数 48
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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