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Numerical modeling of time-lapse seismic data from fractured reservoirs including fluid flow and geochemical processes

机译:裂缝性油藏时移地震数据的数值模拟,包括流体流动和地球化学过程

摘要

Fractured reservoirs, especially in low permeable carbonate rocks, are importanttarget for hydrocarbon exploration and production because fractures can controlfluid flow inside the reservoir. Hence, quantitative knowledge of fracture attributes isimportant for optimal hydrocarbon production. However, in some cases fractures cancause leakage of injected CO2 during enhanced oil recovery (EOR) or CO2 sequestration.Furthermore, CO2 can geochemically interact with reservoir fluids and hostrock. Hence, time-lapse monitoring of the progress of CO2 in fractured reservoirs isalso very important.In order to address these challenges, I have developed an integrated approach forstudying fluid flow and seismic wave propagation in fractured media using DiscreteFracture Network (DFN) models. My seismic simulation study suggests that CO2saturated reservoir shows approximately ten times more attenuation than brine saturatedreservoir. Similarly, large P-wave velocity variation in CO2 saturated reservoirand amplitude variation with offset (AVO) results for our example model predictsthat CO2 is easier to detect than brine in the fractured reservoirs.The effects of geochemical processes on seismics are simulated by time-lapse modelingfor t = 1000 years. My modeling study suggests that intra-aqueous reactions aremore significant during injection of CO2 for t = 6 years, while slower mineral reactionsdominate after pressure equilibrium is achieved that is from t = 6 to 1000 years.Overall both types of geochemical reactions cause change in reflection coefficient of 2to 5%, which may be difficult to detect in some cases. However, the significant changein the seismic properties at the boundary of the CO2 front can be used to detect theflow path of CO2 inside the reservoirs. Finally, a method for generating stochasticfracture models was extended and improved to more realistic field model for seismicand fluid modeling. My detail analysis suggests that fractures generated by isotropicstress field favor orthogonal sets of fractures in most subsurface rocks that can be converted to seismic model, similar to DFN study. The quality and validity of themodels is assessed by comparisons to DFN models, including calculations of fractaldimension measures that can help to characterize fractured reservoirs.
机译:裂缝性储层,特别是在低渗透性碳酸盐岩中,是油气勘探和生产的重要目标,因为裂缝可以控制储层内部的流体流动。因此,对裂缝属性的定量了解对于优化油气产量很重要。但是,在某些情况下,裂缝可能会导致在提高采油量(EOR)或固存CO2的过程中注入的CO2泄漏。此外,CO2可能与储层流体和基质形成地球化学相互作用。因此,对裂缝性油藏中CO2的进展进行时延监视也非常重要。为了解决这些挑战,我开发了一种使用离散裂缝网络(DFN)模型研究裂缝介质中流体流动和地震波传播的综合方法。我的地震模拟研究表明,CO2饱和油藏的衰减比盐水饱和油藏的衰减大约十倍。同样,在我们的示例模型中,CO2饱和油藏的大P波速度变化和带偏移的振幅变化(AVO)结果表明,在裂缝性油藏中,CO2比盐水更容易被检测到。 t = 1000年的建模。我的模型研究表明,在t = 6年的时间内注入CO2时,水内反应更为显着,而在达到t = 6至1000年的压力平衡后,矿物反应则较慢。总体而言,两种地球化学反应都会引起反射变化系数为2%到5%,在某些情况下可能很难检测到。但是,CO2前沿边界处地震特性的重大变化可用于检测储层内部CO2的流动路径。最后,扩展了一种随机裂缝模型的生成方法,并将其改进为用于地震和流体建模的更实际的现场模型。我的详细分析表明,各向同性应力场产生的裂缝倾向于在大多数地下岩石中形成正交的裂缝,这些裂缝可以转换为地震模型,类似于DFN研究。该模型的质量和有效性是通过与DFN模型进行比较来评估的,其中包括可以帮助表征裂缝性储层特征的分维测量值的计算。

著录项

  • 作者

    Shekhar Ravi;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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