面向油藏监测的阵列多物理场采集系统

K. Strack, A. Y. Paembonan, S. Davydycheva, T. Hanstein, M. Smirnov
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引用次数: 1

摘要

利用地球物理技术提高油气藏的采收率,可以提高30- 40%的采收率,从而降低每桶石油的成本/碳排放量,从而增加了价值,并有助于实现零碳足迹。因此,提高采收率(EOR)市场预计将以每年3.5%以上的速度增长。温室气体(GHG)的减少以及随后在开采过程中向储层注入的二氧化碳将进一步推动这一趋势。目前,地球物理仅占该市场的一小部分,因此其增长是不可避免的,因为更确定性的观测导致更高的操作效率。对流体(碳氢化合物、水和二氧化碳)进行成像是优化生产和注入的关键组成部分。我们设计了一种新型的电磁(EM)采集系统,该系统结合了多物理场流体成像,可以高保真地获取地面和井眼数据。为了使储层资料和参数符合测量尺度,需要进行井眼标定。为了解决勘探和生产问题,在一个布置中使用了多种电磁方法和微地震方法。电磁学中的多组分可以同样很好地解决含油和含水区域,同时达到适合重复测量的最佳精度。由于沉积盆地本身具有各向异性,因此从测量和三维建模的角度考虑三维各向异性是必要的。因此,结果具有较好的地下图像。在这里,我们将硬件设计,方法论,3D建模,处理和解释结合到一个集成技术中,并通过可验证的案例历史展示了成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Array Multi-Physics Acquisition System with Focus on Reservoir Monitoring
Focusing geophysics to improve recovery factor of hydrocarbon reservoirs adds value and contributes toward ZERO carbon footprint by increasing the recovery factor by of 30-40 % and thus reducing the cost/carbon emission per produced barrel. Thus, the Enhanced Oil Recovery (EOR) market is expected to grow more than 3.5% annually. This will be even more fueled by the Green-House-Gas (GHG) reduction and subsequent CO2 injection into the reservoirs as they are being produced. Presently, geophysics only ac-counts for a small percentage of this market, thus its growth is inevitable since more deterministic observation lead higher operating efficiency. Imaging the fluids (hydro-carbon, water, and CO2) is a key component to optimized production and injection. We designed a novel electromagnetic (EM) acquisition system that combines mul-ti-physics fluid imaging and acquires surface and borehole data with high fidelity. Borehole calibration is needed to upscale reservoir data and parameters to measurement scale. Multiple electromagnetic methods are used as well as microseismics in one layout for Exploration and Production (E & P) problems. Multi-components in electromagnetics allows resolving oil and water-bearing zones equally well while achieving the best ac-curacy suitable for repeat measurements. Because sedimentary basins are intrinsically anisotropic, considering 3-dimensional anisotropy is essential from measurement and 3D modeling viewpoint. Thus, the results have the better subsurface images. Here, we combine hardware design, methodology, 3D modeling, processing, and interpretations into an integrated technology and demonstrate the success with verifiable case histories.
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