Investigation of trend between porosity and drilling parameters in one of the Iranian undeveloped major gas fields

Q1 Earth and Planetary Sciences
Abbas Ayatizadeh Tanha , Amirhossein Parizad , Khalil Shahbazi , Hassan Bagheri
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引用次数: 1

Abstract

Porosity is one of the main parameters that should be considered when a gas or an oil field is assessed. Hence, the availability of porosity is crucial in any rock and formation analysis. However, this parameter is not always available and direct measurement is scarce and usually is confined to appraisal phase of a field. Therefore, in this study it is aimed to find a relationship in order to estimate porosity in afterward phases. The data of 5 appraisal wells of an undeveloped gas field has been gathered to perform this purpose. The full set wireline logging data and drilling data were available. ‏The data inherit high level of fluctuation which is normal with respect to real direct measured data. The smoothed curving was utilized and as a result, the fluctuation was diminished considerably and the feasibility of carrying out the investigation was being established, accordingly. To normalize and gather drilling data in a parameter in order to have a better view and investigation, sigmalog method was employed. It was observed that there is a clear exponential relationship between porosity and drilling data and curve fitting was utilized to conduct a numerical relationship. The curve fitting was established with R2 = 0.83 and a trustworthy fitting resulted. The results demonstrate the possibility of porosity estimation by using drilling data. Furthermore, a numerical relationship is given for a specific field. The porosity estimation can lead to better analysis of newly drilled rocks and formations leading to more efficient field development strategies.

伊朗某未开发大气田孔隙度与钻井参数变化趋势研究
孔隙度是评估气田或油田时应考虑的主要参数之一。因此,孔隙度的可用性在任何岩石和地层分析中都是至关重要的。然而,这个参数并不总是可用的,而且直接测量很少,通常仅限于油田的评估阶段。因此,在本研究中,旨在找到一种关系,以估计后期的孔隙度。为了实现这一目的,已经收集了一个未开发气田的5口评价井的数据。提供了全套电缆测井数据和钻井数据。‏数据继承了高水平的波动,这对于真实的直接测量数据来说是正常的。利用了平滑的曲线,因此,波动大大减少,因此,进行调查的可行性正在确立。为了对参数中的钻井数据进行归一化和收集,以便更好地查看和调查,采用了sigmalog方法。观察到孔隙度和钻井数据之间存在明显的指数关系,并利用曲线拟合来进行数值关系。建立了R2=0.83的曲线拟合,得到了可靠的拟合结果。结果证明了利用钻井数据进行孔隙度估算的可能性。此外,还给出了一个特定场的数值关系。孔隙度估计可以更好地分析新钻探的岩石和地层,从而制定更有效的油田开发策略。
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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来源期刊
Petroleum Research
Petroleum Research Earth and Planetary Sciences-Geology
CiteScore
7.10
自引率
0.00%
发文量
90
审稿时长
35 weeks
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