Borehole Seismic: Essential Contributions Over the Oilfield Lifecycle

Rajeev Kumar, P. Bettinelli
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Abstract

During the evolution of the petroleum industry, surface seismic imaging has played a critical role in reservoir characterization. In the early days, borehole seismic (BHS) was developed to complement surface seismic. However, in the last few decades, a wide range of BHS surveys has been introduced to cater to new and unique objectives over the oilfield lifecycle. In the exploration phase, vertical seismic profiling (VSP) provides critical time-depth information to bridge time indexed subsurface images to log/reservoir properties in depth. This information can be obtained using several methods like conventional wireline checkshot or zero-offset vertical seismic profiling (ZVSP), seismic while drilling (SWD) or distributed acoustic sensing (DAS) techniques. SWD is a relatively new technique to record real-time data using tool deployed in the bottomhole assembly without disturbing the drilling. It helps to improve decision making for safer drilling especially in new areas in a cost-effective manner. Recently, a breakthrough technology, distributed acoustic sensing (DAS), has been introduced, where data are recorded using a fiber-optic cable with lots of saving. ZVSP also provides several parameters like, attenuation coefficient (Q), multiples prediction, impedance, reflectivity etc., which helps with characterizing the subsurface and seismic reprocessing. In the appraisal phase, BHS applications vary from velocity model update, anisotropy estimation, well- tie to imaging VSPs. The three-component VSP data is best suited for imaging and amplitude variation with offset (AVO) due to several factors like less noise interference due to quiet downhole environment, higher frequency bandwidth, proximity to the reflector, etc. Different type of VSP surveys (offset, walkaway, walkaround etc.) were designed to fulfill objectives like imaging, AVO, Q, anisotropy, and fracture mapping. In the development phase, high-resolution images (3D VSP, walkaway, or crosswell) from BHS surveys can assist with optimizing the drilling of new wells and, hence reduce costs. it can help with landing point selection, horizontal section placement, and refining interpretation for reserve calculation. BHS offers a wide range of surveys to assist the oilfield lifecycle during the production phase. Microseismic monitoring is an industry-known service to optimize hydraulic fracturing and is the only technique that captures the induced seismicity generated by hydraulic fracturing and estimate the fracture geometry (height, width, and azimuth) and in real time. During enhanced oil recovery (EOR) projects, BHS can be useful to optimize the hydrocarbon drainage strategies by mapping the fluid movement (CO2, water, steam) using time-lapse surveys like walkaway, 3D VSP and/or crosswell. DAS has brought a new dimension to provide vital information on injection or production evaluation, leak detection, flow behind tubing, crossflow diagnosis, and cement evaluation during production phase. This paper highlights the usage of BHS over the lifecycle of the oilfield.
井眼地震:对油田生命周期的重要贡献
在石油工业的发展过程中,地面地震成像在储层表征中起着至关重要的作用。早期,井眼地震(BHS)是作为地面地震的补充而发展起来的。然而,在过去的几十年里,为了满足油田生命周期中新的和独特的目标,广泛引入了BHS调查。在勘探阶段,垂直地震剖面(VSP)提供了关键的时间-深度信息,将时间索引的地下图像与测井/储层的深度属性联系起来。这些信息可以通过几种方法获得,如传统的电缆检查或零偏移垂直地震剖面(ZVSP)、随钻地震(SWD)或分布式声波传感(DAS)技术。SWD是一项相对较新的技术,可以在不干扰钻井的情况下,使用井底钻具组合中的工具记录实时数据。它有助于提高钻井安全性的决策,特别是在新区域以经济有效的方式进行钻井。最近,一项突破性的技术——分布式声传感技术(DAS)被引入,该技术使用光纤电缆记录数据,大大节省了成本。ZVSP还提供了几个参数,如衰减系数(Q)、倍数预测、阻抗、反射率等,这有助于表征地下和地震再处理。在评价阶段,BHS的应用范围从速度模型更新、各向异性估计到成像vsp。三分量VSP数据最适合于成像和偏移振幅变化(AVO),因为有几个因素,如安静的井下环境、更高的频率带宽、靠近反射器等。设计了不同类型的VSP测量(偏移、行走、行走等),以实现成像、AVO、Q、各向异性和裂缝作图等目标。在开发阶段,BHS测量的高分辨率图像(3D VSP、walk - away或crosswell)可以帮助优化新井的钻井,从而降低成本。它可以帮助着陆点的选择、水平剖面的布置以及储量计算的精细化解释。BHS在生产阶段提供广泛的测量,以协助油田的生命周期。微地震监测是业内公认的水力压裂优化服务,也是唯一一种能够实时捕获水力压裂产生的诱发地震活动并估计裂缝几何形状(高度、宽度和方位角)的技术。在提高采收率(EOR)项目中,BHS可以通过使用walkaway、3D VSP和/或井间等延时测量来绘制流体运动(CO2、水、蒸汽),从而有助于优化油气排采策略。DAS带来了新的维度,为生产阶段的注入或生产评估、泄漏检测、油管后流、横流诊断和水泥评估提供了重要信息。本文重点介绍了BHS在油田全生命周期中的应用。
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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