Application of magnesium yield measurement from neutron spectroscopy tool in formation evaluation of northern Kuwait fields. 9th Middle East Geosciences Conference, GEO 2010.

D. Kho
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Abstract

Evaluation of porosity and lithology has always been done through a combination of density, photoelectric factor (PEF), neutron, gamma-ray, and sonic measurements. None of these directly gives porosity or lithology. Therefore, common practice includes building petrophysical models to extract these reservoir properties. Geoscientists involved in petrophysical analysis using multi-mineral solvers are aware of the difficulty and the uncertainty of the process; for example, changing a fluid property in the model will change the lithology as well as the porosity. The logs themselves are also known to have their own measurement uncertainties. The density log, for example, is affected by bad hole, lithology, barite, and light hydrocarbons. The neutron log is affected by lithology, fluid hydrogen index, and the borehole properties (temperature, pressure, hole size, stand-off, mud cake, mud weight, etc.). The interpretation is also complicated by the fact that different neutron tools from different logging companies have different sensitivities to lithology. Sonic log data is also used for interpretation even though it is affected by fractures, vuggy porosity, anisotropy, etc. The PEF curve is commonly used as an additional tool to solve for the lithology. However, if the mud contains barite the measurement becomes unusable. Dolomite and solid bitumen quantifications have been the challenging issues in carbonate evaluation. The dolomite diagenesis involves the recrystallization which makes the dolomite less susceptible to porosity reduction caused by overburden pressure. This unique characteristic of the crystallized dolomite makes it an important reservoir rock especially in deep carbonate reservoirs. On the other hand, the presence of solid bitumen is always associated with poor reservoir quality. Also, the physical properties of the solid bitumen cause it to appear as hydrocarbon. If not corrected, the formation evaluation result will give incorrect porosity and water saturation computation. New development in neutron capture spectroscopy tool provides significant data to quantify the mineralogy in carbonate, especially the dolomite content through magnesium yield measurement. Combination of the spectroscopy data and magnetic resonance data can be used to identify and correct the solid bitumen effects. Real examples from deep carbonate reservoir in northern Kuwait fields and the validation against core data will be presented.
中子能谱仪测镁产量在科威特北部油田地层评价中的应用。第九届中东地球科学会议,2010。
孔隙度和岩性的评估一直是通过密度、光电系数(PEF)、中子、伽马射线和声波测量相结合来完成的。这些都不能直接给出孔隙度或岩性。因此,通常的做法包括建立岩石物理模型来提取这些储层性质。使用多矿物溶液进行岩石物理分析的地球科学家意识到这一过程的困难和不确定性;例如,改变模型中的流体性质将改变岩性和孔隙度。众所周知,原木本身也有自己的测量不确定度。例如,密度测井受不良井眼、岩性、重晶石和轻烃的影响。中子测井结果受岩性、流体氢指数和井眼性质(温度、压力、井眼尺寸、井距、泥饼、泥浆比重等)的影响。由于不同测井公司的不同中子工具对岩性的敏感性不同,解释也变得更加复杂。声波测井数据也可以用于解释,即使它受到裂缝、孔隙度、各向异性等因素的影响。PEF曲线通常被用作求解岩性的附加工具。但是,如果泥浆中含有重晶石,则无法进行测量。白云岩和固体沥青的定量一直是碳酸盐岩评价中具有挑战性的问题。白云岩的成岩作用涉及到再结晶,这使得白云岩不易受覆盖层压力引起的孔隙减少的影响。结晶白云岩的这一独特特性使其成为深层碳酸盐岩储层的重要储层。另一方面,固体沥青的存在往往与储层质量差有关。此外,固体沥青的物理性质使其表现为碳氢化合物。如果不进行校正,地层评价结果将给出不正确的孔隙度和含水饱和度计算。中子捕获能谱仪的新发展,为定量碳酸盐岩中的矿物学,特别是白云岩的镁收率测量提供了重要的数据。利用光谱数据和磁共振数据相结合的方法可以识别和校正固体沥青效应。本文将介绍科威特北部油田深层碳酸盐岩储层的实例,并对岩心数据进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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