The analysis of Reservoar Porosity Calculation based on Well Log in Bintuni Basin Area

Suwondo Suwondo, Warto Utomo, T. Zera, Muhammad Thariq Almuqtadir
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Abstract

The  Bintuni Basin is one of several  oil and gas producing basin in Eastern Indonesia.  This basin has one of the hydrocarbon-producing reservoir in the Kais Formation. The carbonate reservoir in Kais Formation is Middle to Upper Miocene age. The understanding of reservoirs is important for further field development. Petrophysical analysis is a method for understanding reservoirs especially  porosity parameter and estimation of hydrocarbon reserve. The data used in study is  well data including, mudlog report, well report, Gamma Ray (GR), Sonic, Resistivity (ILD, ILS, MSFL), density (RHOB) and NPHI logs. The aim study is to analyze the reservoir using Gamma Ray log and porosity calculation using Sonic, RHOB and NPHI logs. The study method includes regional geological literature review, marker analysis, Gamma Ray picking, and reservoir porosity calculations. According to Gamma Ray picking analysis, the Kais Formation GR has values of  GRsand = 25 API and values of GRshale = 80 API. The Low Gamma Ray  below 60 API is interpretated as carbonate reservoir. For porosity validation, the porosity of routine core analysis (RCAL) data is plotted into porosity logs (porosity calculation using Sonic, RHOB and NPHI logs). Based on the porosity calculation using three porosity logs(Sonic, Density, NPHI Logs), the porosity estimated from density log is more match with the porosity of routine core analysis (RCAL) data. According to porosity calculation at WTU Well, the porosity from log density in the Kais Formation has value from 2% - 25%. The porosity in Carbonate  has large value  as a result of secondary porosity.©2022 JNSMR UIN Walisongo. All rights reserved.
滨图尼盆地地区测井储层孔隙度计算方法分析
Bintuni盆地是印尼东部几个油气生产盆地之一。该盆地具有凯伊斯组含油气储层之一。凯伊斯组碳酸盐岩储层为中新统中至上中新统。对储层的认识对油田的进一步开发具有重要意义。岩石物理分析是一种认识储层,特别是孔隙度参数和油气储量估算的方法。研究中使用的数据是井数据,包括泥浆测井报告、井报告、伽马射线(GR)、声波、电阻率(ILD、ILS、MSFL)、密度(RHOB)和NPHI测井。研究的目的是利用伽马测井分析储层,并利用Sonic、RHOB和NPHI测井计算孔隙度。研究方法包括区域地质文献综述、标记物分析、伽马射线提取、储层孔隙度计算等。根据伽马射线拾取分析,Kais组GR值为GRsand = 25 API, GRshale = 80 API。低于60 API的低伽马层被解释为碳酸盐岩储层。为了验证孔隙度,常规岩心分析(RCAL)数据的孔隙度被绘制成孔隙度测井曲线(孔隙度计算使用Sonic、RHOB和NPHI测井曲线)。利用声波测井(Sonic)、密度测井(Density)、NPHI测井(NPHI) 3种测井曲线进行了孔隙度计算,结果表明,密度测井曲线计算的孔隙度与常规岩心分析(RCAL)数据更为吻合。根据WTU井孔隙度计算,Kais组测井密度孔隙度值为2% ~ 25%。碳酸盐岩孔隙度由于次生孔隙的存在而具有较大的价值。©2022 JNSMR UIN Walisongo。版权所有。
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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