{"title":"A Method to Obtain a Permeability - Constrained and Consistent Saturation Height Model","authors":"I. Hulea","doi":"10.2118/193164-MS","DOIUrl":null,"url":null,"abstract":"\n The process of differentiating between rock volumes based on petrophysical properties and geological indicators is commonly referred to as rock typing. A rock type can be identified by a given porosity – permeability (k-Phi) transform and Saturation Height Model (SHM) in petrophysical space. Rock typing is a useful method by which geological interpretations are combined with petrophysical measurements and translated into physical space for use in subsurface modelling. Efforts here involve utilizing k-Phi transforms as an input to SHM, thereby streamlining the rock typing process and allowing for compatibility with existing rock typing workflows.\n A fundamental part of building realistic subsurface models includes populating a geologic framework with petrophysical properties. From a petrophysical point of view, critical properties with significant impact on the modelling outcome (hydrocarbon volumes recoverable and producibility) are hydrocarbon saturation, permeability and relative permeability. Hydrocarbon saturation is an expression of the rock capillarity translated into a mathematical expression from capillary pressure measurements or well log saturations. Permeability is commonly predicted from porosity, via transform equations used to differentiate reservoir rocks of different quality.\n Previous work has shown that permeability and SHM used for subsurface modelling are generally consistent. This implies that the number of input parameters to the SHM can be reduced, which can be done by integrating permeability and saturation data (from logs and core measurements). The number of parameters used in the predictive SHM is reduced from six to four. Here, we propose to constrain the entry pressure (responsible for hydrocarbon entry height) by using routine core analysis data. This approach aiming to look at the plug and log scale has significant benefits when a SHM is derived from well log saturation data or when a limited range in properties is sampled by capillary pressure measurements. The workflow allows the use of other permeability sources (like Drill Stem Test if representative of matrix) as starting point in the process of building a SHM via a simplified Brooks-Corey function. The function can be looked at as a hybrid between the Leverett's J and Brooks-Corey function with entry pressure dependency on the permeability to porosity ratio higher than for Leverett's J (0.7 vs 0.5). The result of linking k-Phi transforms to saturation height modelling allows for compatibility with multiple rock typing approaches that utilize different sorts of parameters to define k-Phi, including Lucia's classic rock fabric numbers, a useful benchmark.","PeriodicalId":11208,"journal":{"name":"Day 2 Tue, November 13, 2018","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, November 13, 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/193164-MS","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The process of differentiating between rock volumes based on petrophysical properties and geological indicators is commonly referred to as rock typing. A rock type can be identified by a given porosity – permeability (k-Phi) transform and Saturation Height Model (SHM) in petrophysical space. Rock typing is a useful method by which geological interpretations are combined with petrophysical measurements and translated into physical space for use in subsurface modelling. Efforts here involve utilizing k-Phi transforms as an input to SHM, thereby streamlining the rock typing process and allowing for compatibility with existing rock typing workflows.
A fundamental part of building realistic subsurface models includes populating a geologic framework with petrophysical properties. From a petrophysical point of view, critical properties with significant impact on the modelling outcome (hydrocarbon volumes recoverable and producibility) are hydrocarbon saturation, permeability and relative permeability. Hydrocarbon saturation is an expression of the rock capillarity translated into a mathematical expression from capillary pressure measurements or well log saturations. Permeability is commonly predicted from porosity, via transform equations used to differentiate reservoir rocks of different quality.
Previous work has shown that permeability and SHM used for subsurface modelling are generally consistent. This implies that the number of input parameters to the SHM can be reduced, which can be done by integrating permeability and saturation data (from logs and core measurements). The number of parameters used in the predictive SHM is reduced from six to four. Here, we propose to constrain the entry pressure (responsible for hydrocarbon entry height) by using routine core analysis data. This approach aiming to look at the plug and log scale has significant benefits when a SHM is derived from well log saturation data or when a limited range in properties is sampled by capillary pressure measurements. The workflow allows the use of other permeability sources (like Drill Stem Test if representative of matrix) as starting point in the process of building a SHM via a simplified Brooks-Corey function. The function can be looked at as a hybrid between the Leverett's J and Brooks-Corey function with entry pressure dependency on the permeability to porosity ratio higher than for Leverett's J (0.7 vs 0.5). The result of linking k-Phi transforms to saturation height modelling allows for compatibility with multiple rock typing approaches that utilize different sorts of parameters to define k-Phi, including Lucia's classic rock fabric numbers, a useful benchmark.
根据岩石物理性质和地质指标区分岩石体积的过程通常被称为岩石分型。岩石物理空间中给定的孔隙度-渗透率(k-Phi)变换和饱和高度模型(SHM)可以识别岩石类型。岩石分型是一种有用的方法,通过这种方法,地质解释与岩石物理测量相结合,并转化为用于地下建模的物理空间。这里的工作包括利用k-Phi变换作为SHM的输入,从而简化岩石分型过程,并允许与现有岩石分型工作流程兼容。建立真实的地下模型的一个基本部分包括用岩石物理性质填充地质框架。从岩石物理学的角度来看,对建模结果(油气可采体积和产能)有重大影响的关键属性是油气饱和度、渗透率和相对渗透率。油气饱和度是将岩石毛细作用转化为毛细压力测量或测井饱和度的数学表达式。渗透率通常由孔隙度预测,通过转换方程来区分不同质量的储层岩石。以前的工作表明,用于地下建模的渗透率和SHM通常是一致的。这意味着SHM输入参数的数量可以减少,这可以通过整合渗透率和饱和度数据(来自测井和岩心测量)来实现。在预测SHM中使用的参数数量从6个减少到4个。在这里,我们建议使用常规岩心分析数据来限制进入压力(负责油气进入高度)。当从测井饱和度数据中得出SHM,或者通过毛细管压力测量采样有限的属性范围时,这种旨在观察桥塞和测井尺度的方法具有显著的优势。该工作流程允许使用其他渗透率源(如钻杆测试,如果代表矩阵)作为通过简化的Brooks-Corey函数构建SHM过程的起点。该函数可以看作是Leverett的J函数和Brooks-Corey函数的混合体,其进入压力依赖于渗透率与孔隙度比高于Leverett的J函数(0.7 vs 0.5)。将k-Phi转换到饱和高度建模的结果允许与多种岩石类型方法兼容,这些方法使用不同类型的参数来定义k-Phi,包括Lucia的经典岩石结构数,这是一个有用的基准。