IDENTIFYING FRACTURE FILLING MATERIAL IN OIL-BASED MUD WITH DIELECTRIC- BOREHOLE IMAGING

Peter Schlicht, Tianhua Zhang, M. Lüling, B. Graham, Alexandra Cournot, R. Sadownyk
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Abstract

Natural fractures maintain a significant role in many hydrocarbon plays, in both conventional and unconventional reservoirs. In exploration and development scenarios, specific fracture properties, such as orientation and density, are important. However, more critical is their internal architecture: are the fractures open to fluid flow or filled with minerals? Borehole microresistivity imaging tools are widely used to determine these fracture characteristics. In wells drilled with water-based muds, open fractures are filled with conductive borehole fluid that enables distinguishing open, water-filled fractures from resistive, mineral-filled fractures and the surrounding rock. However, many wells today are drilled with oilbased muds. In this case, mineral-filled fractures and oil-basedmud-filled fractures are equally highly resistive and cannot be directly distinguished using resistivity images only. The latest-generation wireline oil-based-mud microresistivity imagers operate in the megahertz frequency range, radiating the electrical current capacitively through the nonconductive mud column and delivering photorealistic borehole images. Both electrical conductivity and dielectric permittivity components constitute the measured signal. The quantitative interpretation uses a sequence of modelbased parametric inversion runs to first estimate the mud properties of the log and subsequently invert for the standoff of the microelectrode buttons to the rock surface and the formation resistivity and dielectric permittivity within the volume of investigation. Our example case shows highly resistive, high-angle fractures from the resistivity images with their orientation and density. The standoff image determines if the mud column penetrates the fracture plane, showing an apparently high standoff compared with the surrounding rock. If the standoff appears high in the fracture plane, the fracture is classified open to fluid flow. However, are these fractures indeed fully dilated and open or are they filled with different materials— are they partially mineralized with calcite and partially open, filled with mud? To further determine the fracture fill and susceptibility to fluid flow, a new workflow employs the material dependency of the relative dielectric permittivity. The relative permittivity is estimated as function of resistivity and frequency pixel by pixel on the resistivity image. The estimate formula is empirically derived from several hundred laboratory measurements on core plugs with different fluid saturations and salinities. The resulting borehole image enables distinguishing materials in the volume of investigation. Bio: Peter SCHLICHT is the Technical Director for Geology at Schlumberger Wireline Headquarters, based in Bucharest, Romania. He joined Schlumberger in 2001 as a wireline field engineer and had several assignments as geology expert to operations in Africa and the Middle East. Peter was research program manager for pre-salt formation evaluation at the Schlumberger Research and Engineering Center in Brazil until 2014. As geology advisor he currently works on hardand software technology development and interpretation engineering for borehole imaging and coring. Peter holds a diploma degree in geology and paleontology from University of Cologne, Germany.
电介质井眼成像识别油基泥浆裂缝充填物
天然裂缝在许多油气藏中都扮演着重要的角色,无论是常规油气藏还是非常规油气藏。在勘探和开发场景中,特定的裂缝性质,如定向和密度,是很重要的。然而,更关键的是它们的内部结构:裂缝是对流体开放还是充满了矿物质?井眼微电阻率成像工具被广泛用于确定这些裂缝特征。在使用水基泥浆的井中,张开的裂缝被导电性井眼流体填充,可以区分张开的、充满水的裂缝、电阻性的、充满矿物质的裂缝和围岩。然而,现在许多井都是用油基泥浆钻井的。在这种情况下,矿物填充裂缝和油基泥浆填充裂缝具有同样高的电阻率,不能仅通过电阻率图像直接区分。最新一代电缆油基泥浆微电阻率成像仪工作频率为兆赫兹,通过非导电泥浆柱电容辐射电流,并提供逼真的井眼图像。电导率和介电常数组成了被测信号。定量解释使用一系列基于模型的参数反演,首先估计测井曲线的泥浆性质,然后反演微电极按钮与岩石表面的距离,以及调查范围内的地层电阻率和介电介电常数。我们的例子显示了高电阻率,高角度裂缝的方向和密度的电阻率图像。对峙图像确定泥柱是否穿透裂缝面,与围岩相比显示出明显的高对峙。如果裂缝面出现高间隙,则裂缝被认为是开放的,可供流体流动。然而,这些裂缝真的是完全扩张和开放的吗?还是它们被不同的物质填满了——它们是部分被方解石矿化,部分被泥浆填满吗?为了进一步确定裂缝填充和流体流动敏感性,一种新的工作流程采用了相对介电常数的物质依赖性。在电阻率图像上逐像素估计相对介电常数为电阻率和频率的函数。该估算公式是根据数百个不同流体饱和度和盐度的岩心桥塞的实验室测量得出的。由此产生的钻孔图像可以在调查体积中区分材料。Peter SCHLICHT是位于罗马尼亚布加勒斯特的斯伦贝谢电缆总部的地质技术总监。他于2001年加入斯伦贝谢,担任现场电缆工程师,并多次担任非洲和中东地区的地质专家。2014年之前,Peter一直担任斯伦贝谢巴西研究与工程中心盐下地层评价研究项目经理。作为地质顾问,他目前从事钻孔成像和取心的硬件和软件技术开发和解释工程。彼得拥有德国科隆大学地质学和古生物学文凭。
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