Integration of microseismic fracture mapping results with numerical fracture network production modeling in the Barnett shale
MJ Mayerhofer, EP Lolon, JE Youngblood… - SPE Annual Technical …, 2006 - onepetro.org
This paper presents the results of integrating microseismic fracture mapping with numerical
production modeling of fracture networks in the Barnett shale. Microseismic fracture …
production modeling of fracture networks in the Barnett shale. Microseismic fracture …
Porosity prediction using semi-supervised learning with biased well log data for improving estimation accuracy and reducing prediction uncertainty
W Sang, S Yuan, H Han, H Liu… - Geophysical Journal …, 2023 - academic.oup.com
Porosity characterization is of profound significance for seismic inversion and hydrocarbon
prediction. Although semi-supervised learning (SSL) based methods have been used to …
prediction. Although semi-supervised learning (SSL) based methods have been used to …
[图书][B] Seismic inversion methods: a practical approach
Seismic inversion methods in geophysics is a technique used to transform seismic reflection
data into quantitative subsurface rock properties. It is methods to integrate seismic reflection …
data into quantitative subsurface rock properties. It is methods to integrate seismic reflection …
[PDF][PDF] 地震岩石物理研究概述
徐胜峰， 李勇根， 曹宏， 姚逢昌 - 地球物理学进展, 2009 - dsjyj.com.cn
摘要地震岩石物理是研究岩石物理性质与地震响应之间关系的一门学科,
它通过对各种岩心资料, 测井资料和地震资料进行综合分析, 研究岩性, 孔隙度, 孔隙类型 …
它通过对各种岩心资料, 测井资料和地震资料进行综合分析, 研究岩性, 孔隙度, 孔隙类型 …
Application of machine learning tool to predict the porosity of clastic depositional system, Indus Basin, Pakistan
Porosity is one of the key factors of a reservoir system that is typically distributed in a
spatially non-uniform and non-linear manner. Nevertheless, spatial distribution of porosity in …
spatially non-uniform and non-linear manner. Nevertheless, spatial distribution of porosity in …
Prediction of reservoir quality from log-core and seismic inversion analysis with an artificial neural network: A case study from the sawan gas field, Pakistan
This paper presents a novel approach that aims to predict better reservoir quality regions
from seismic inversion and spatial distribution of key reservoir properties from well logs. The …
from seismic inversion and spatial distribution of key reservoir properties from well logs. The …
Estimation of petrophysical parameters from seismic inversion by combining particle swarm optimization and multilayer linear calculator
In heterogeneous reservoir rocks, the accurate characterization of lithology and reservoir
parameters is significant to minimize drilling risks and to improve oil and gas recoveries. In …
parameters is significant to minimize drilling risks and to improve oil and gas recoveries. In …
A methodology of porosity estimation from inversion of post-stack seismic data
R Kumar, B Das, R Chatterjee, K Sain - Journal of Natural Gas Science and …, 2016 - Elsevier
Post-stack inversion of seismic data is routinely carried out to derive acoustic impedance (AI)
and, hence petrophysical properties in an area. We have been introducing here an …
and, hence petrophysical properties in an area. We have been introducing here an …
Qualitative and quantitative comparison of the genetic and hybrid genetic algorithm to estimate acoustic impedance from post-stack seismic data of Blackfoot field …
In this study, seismic inversion is carried out using a genetic algorithm (GA) as well as a
hybrid genetic algorithm (HGA) approach to optimize the objective function designed for the …
hybrid genetic algorithm (HGA) approach to optimize the objective function designed for the …
3D porosity prediction from seismic inversion and neural networks
In this work, we address the problem of transforming seismic reflection data into an intrinsic
rock property model. Specifically, we present an application of a methodology that allows …
rock property model. Specifically, we present an application of a methodology that allows …