Petro‐seismic inversion for sandstone properties

Author:

Koesoemadinata Adam P.1,McMechan George A.1

Affiliation:

1. University of Texas at Dallas, Center for Lithospheric Studies, P.O. Box 830688, Richardson, Texas 75083‐0688.

Abstract

We use empirical relations derived from laboratory and log data for sandstones to estimate unknown parameters from given parameters. The known and unknown parameters may be any of the following: compressional and shear wave velocities (Vp and Vs), density (ρ), compressional and shear wave quality factors (Qp and Qs), effective pressure (P), frequency (f), water saturation (S), porosity (φ), clay content (C), fluid permeability (k), and Vp/Vs and Qs/Qp ratios. The goal is to obtain estimates of all thirteen of these petro‐seismic variables from subsets of these as input; whether this is achievable depends on the particular combination of input variables. The inversion typically proceeds through a hierarchy of three levels of parameter estimation, in order of the expected reliability of the estimates. First, we solve for the parameters that can be obtained directly from the fitted empirical equations. Then, a grid search is performed to simultanously fit more than one unknown parameter by finding values that best predict the known parameters. Finally, various approximations are invoked to predict values when the inputs are insufficient to use the direct equations or a grid search. These three procedures can be initiated in any desired order and any number of times. Even if the complete set of seismic parameters (Vp, and Vs, ρ, Qp, Qs, and f) are given, it is not possible to uniquely obtain any of the remaining petrophysical variables (S, φ, C, P, or k) directly from the fitted equations without constraints on (or assumptions about) some of the other variables. There is a trade‐off between porosity and clay content that can be resolved by simultaneous fitting of multiple seismic parameters (i.e., Vp, Vs, and Vp/Vs). The predictability of the parameters from various combinations of the available data is expressed using correlation coefficients (R2) and standard deviations. With optimal input combinations, parameters with R2 ≥ 0.8 are (in order from best to worst) Vp, 100/Qp, ρ, Vs, and S. Other parameters with 0.63 ≥ R2 ≤, 0.79 are (in order from best to worst) φ, Qs/Qp, Vp/Vs, ln k, 100/Qs, and C. P and f are the least reliably estimated. All of the seismic parameters can be accurately estimated if all of the petrophysical parameters are known.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Reference36 articles.

1. Pore-size data in petrophysics: a perspective on the measurement of pore geometry

2. Seismic attenuation and pore‐fluid viscosity in clay‐rich reservoir sandstones

3. The relationships between the velocities, attenuations and petrophysical properties of reservoir sedimentary rocks1

4. Castagna, J. P., Batzle, M. L., and Kan, T. K., 1997, Rock physics—The link between rock properties and AVO response, in Castagna, J. P., and Backus, M. M., Eds., Offset‐dependent reflectivity—Theory and practise of AVO analysis: Soc. Expl. Geophys., 135–171.

5. Effect of volatiles on attenuation (Q−1) and velocity in sedimentary rocks

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3