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“Evaluation of Multiple Component Induction Logging in a Deltaic Environment:A case study”

机译:“评估红细环境中的多个组件感应测井:案例研究”

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The Lower Eocene C Misoa Formation was deposited on a tidally-influenced low deltaic plain in the Bloque 8 Field,Lake Maracaibo Basin.As a result of the environment deposition usually sand layer thickness is below of tool’s resolution,resulting in petrophysical properties being averaged across the shale and sand lamina.One of the measurements affected is resistivity hence is common to find low net pay reservoir.These low resistivity pays,characterized by electric anisotropy,are often overlooked or mistaken as water-bearing sands when conventional resistivity measurements are used for calculating their water saturation,especially when an oil based mud and traditional induction logs are acquired.More accurate and reliable petrophysical quantification is crucial for the economic decision to explore,develop, and produce these reservoirs.Klein et al.(1995)note that pronounced electrical anisotropy in porous sediments could be a good indicator of hydrocarbon pay. The Multi-Component Induction(MCI)tool is comprised of three pairs of mutually orthogonal transmitter-receivers measuring all nine magnetic field components at 10 different frequencies.The main objective in this paper is to show how information of seven wells with MCI logs was incorporated into the petrophysical model in order to reduce uncertainties about water saturation calculation.Using tensor resistivity equations,true sandstone resistivity and the volume of laminar shale were computed.Water saturation estimation using traditional resistivity measurements in the reservoir have predicted initial water production;meanwhile MCI predicts that some intervals should not have it.All Production data available was used to determine which log derived saturation match with the real reservoir production behavior.Finally,we summarized how the lack of core and image logs information may cancel the benefits of having vertical resistivity,because N/G and porosity has a great impact in calculations.
机译:在Maracaibo Basin湖中,沉积较低的eocene c misoa形成,在蓝色的8场中,在Bloque 8场中,环境沉积的结果通常是砂层厚度低于刀具的分辨率,导致岩石物理特性平均受影响的测量值是电阻率的,因此很常见,以找到低净支付水库。这些低电阻率支付,通过电各向异性的特征,通常被忽视或误认为是当使用常规电阻率测量时作为含水砂。计算水饱和度,特别是当获得油基泥和传统的感应日志时。摩尔准确可靠的岩石物理量化对于探索,开发和生产这些水库的经济决定至关重要。(1995)注意发表声音多孔沉积物中的电各向异性可能是碳氢化合物工资的良好指标。多组分诱导(MCI)工具包括三对相互正交的发射器 - 接收器,其在10个不同的频率下测量所有九个磁场分量。本文的主要目的是展示如何使用MCI日志的七个井的信息。进入岩石物理模型,以减少水饱和度计算的不确定性。测压电阻率方程,计算真正的砂岩电阻率和层状页岩的体积。使用储层中的传统电阻率测量的水饱和度估计预测了初始水产;同时MCI预测某些间隔不应该拥有它。可用的生产数据用于确定与真实储层生产行为的日志派生饱和度匹配。最后,我们总结了核心和图像日志信息的缺失如何取消具有垂直电阻率的好处,因为n / g和孔隙度在计算中产生了很大的影响s。

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