首页> 外文会议>Annual Technical Conference and Exhibition >Reconciling Log-Derived Water Saturation and Saturation-Height Function Results through Resistivity Modeling, Core-Log Integration and Image Log Data: A Case Study from Deepwater Gulf of Mexico
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Reconciling Log-Derived Water Saturation and Saturation-Height Function Results through Resistivity Modeling, Core-Log Integration and Image Log Data: A Case Study from Deepwater Gulf of Mexico

机译:通过电阻率建模,核心日志集成和图像日志数据进行调整对日志衍生的水饱和度和饱和度高度功能:墨西哥深水海湾的案例研究

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Saturation Height Functions (SHF) have a key role in reservoir description and in quantifying oil in place. The function(s) must compare well with other sources of water saturation (Sw) when available, such as core measurements and well-log interpretations. We have reconciled the different Sw sources through a reliable SHF function based on the Brooks-Corey model with parameters optimised for Thunder Horse (TH) Field. The function is used to populate oil volumes in the 3-D static and dynamic models. Thunder Horse is one of the largest deep-water fields in Gulf of Mexico and is operated by BP, with ExxonMobil as a co-owner. TH is divided in two trapping structures: TH North (THN) and TH South (THS). The field has multiple Miocene turbidite reservoirs commonly grouped in units known as the Pink, Brown, and Peach. Thunder Horse is fortunate to have Dean-Stark (D-S) and well-log data sets that detail the Sw changes at and above the oil-water contact (OWC). We developed a continuous log-derived Sw after appropriate model calibration with D-S measurements. Subsequently, we applied the Brooks-Corey SHF model with parameters defined for each rock type in TH area based on an iterative regression to the log-interpreted Sw following a workflow we developed. This case study illustrates methods and results of reconciling saturations determined from a number of techniques and validation of the outcomes with independent borehole and direct measurements from core. Two cases where differences were observed are addressed by combining resistivity modeling and borehole images with core-log integration. A comparison of binary vs. continuous net-to-gross (NTG) on Hydrocarbon Pore Volume, based on SHF and log-derived Sw, proved the volume impact is not significant for the highest NTG TH Pink reservoirs. However, the deliverable provides significant value through a consistent and defendable linked saturation and net-to-gross suitable for use in reservoir modelling.
机译:饱和度函数(SHF)在储层描述中具有关键作用,并在量化的油状物中具有关键作用。当可用时,该功能必须与其他水饱和度(SW)的其他来源进行比较,例如核心测量和良好的对数解释。我们已经通过基于Brooks-Corey模型的可靠SHF功能来协调不同的SW来源,该模型与针对雷马(TH)字段优化的参数。该功能用于填充3-D静态和动态模型中的油量。雷霆马是墨西哥湾最大的深水田,是由BP运营的,埃克森美孚作为共同主人。分为两个诱捕结构:Th North(Thn)和南部(THS)。该领域具有多个中海内杂技浑浊储层,通常以称为粉红色,棕色和桃的单位分组。雷霆马是幸运的,让Dean-Stark(D-S)和Log-Log数据设置细节在油水触点(OWC)上方的SW变化。在适当的模型校准后,我们​​开发了一个连续的日志衍生的SW,通过D-S测量。随后,我们将Brooks-Corey SHF模型应用于TH区域为每个岩石类型定义的参数,基于我们开发的工作流程的日志解释的SW的迭代回归。本案例研究说明了从多种技术确定的饱和度和验证具有独立钻孔的结果和核心的直接测量的方法和结果。通过将具有核心日志集成的电阻率建模和钻孔图像组合来解决观察到差异的两种情况。基于SHF和Log-errived SW的二元与烃孔(NTG)对烃孔体积的连续净毛(NTG)的比较证明了对最高NTG粉红色储层的体积影响不显着。然而,可交付的通过一致且可辩护的连接饱和度和适用于储层建模的净毛提供显着的值。

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