Carbon capture and storage (CCS): the way forward
Carbon capture and storage (CCS) is broadly recognised as having the potential to play a
key role in meeting climate change targets, delivering low carbon heat and power …
key role in meeting climate change targets, delivering low carbon heat and power …
Post‐stack 4D seismic time‐shifts: interpretation and evaluation
C MacBeth, MD Mangriotis, H Amini - Geophysical Prospecting, 2019 - earthdoc.org
ABSTRACT A review and analysis of post‐stack time‐lapse time‐shifts has been carried out
that covers published literature supplemented by in‐house datasets available to the authors …
that covers published literature supplemented by in‐house datasets available to the authors …
[图书][B] Seismic reservoir modeling: Theory, examples, and algorithms
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid
properties, including elastic and petrophysical variables, to describe and monitor the state of …
properties, including elastic and petrophysical variables, to describe and monitor the state of …
[图书][B] Practical applications of time-lapse seismic data
DH Johnston - 2013 - library.seg.org
I knew when I was asked to serve as the 2013 SEG distinguished instructor that I had tough
acts to follow. In 1998, Ian Jack presented the very first Distinguished Instructor Short Course …
acts to follow. In 1998, Ian Jack presented the very first Distinguished Instructor Short Course …
基于精确Zoeppritz 方程的时移地震流体动态监测
周林， 廖建平， 袁成， 刘彦鑫， 赵超， 陈小宏 - 地球物理学进展, 2022 - dzkx.org
储层流体动态定量评价能够为剩余油开发提供重要信息. 流体因子作为一种重要流体表征参数,
能有效识别流体位置和类型, 理论上可根据油藏开发引起的流体因子变化量实现流体动态监测 …
能有效识别流体位置和类型, 理论上可根据油藏开发引起的流体因子变化量实现流体动态监测 …
Feasibility of seismic time-lapse monitoring of CO2 with rock physics parametrized full waveform inversion
Carbon capture and storage is an important technology for greenhouse gas mitigation.
Monitoring of CO2 storage should, in addition to locating the plume, provide quantitative …
Monitoring of CO2 storage should, in addition to locating the plume, provide quantitative …
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
We have developed a time-lapse seismic history matching framework to assimilate
production data and time-lapse seismic data for the prediction of static reservoir models. An …
production data and time-lapse seismic data for the prediction of static reservoir models. An …
Time-lapse pressure–saturation discrimination for CO2 storage at the Snøhvit field
S Grude, M Landrø, B Osdal - International Journal of Greenhouse Gas …, 2013 - Elsevier
At the Snøhvit field, Barents Sea, the produced gas contains 5–8% CO 2. This is separated
from the sales gas at the Melkøya LNG plant, piped back and re-injected into the saline …
from the sales gas at the Melkøya LNG plant, piped back and re-injected into the saline …
Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets
In this work, we tackle the challenge of quantitative estimation of reservoir dynamic property
variations during a period of production, directly from four‐dimensional seismic data in the …
variations during a period of production, directly from four‐dimensional seismic data in the …
Bayesian inversion of time‐lapse seismic data for the estimation of static reservoir properties and dynamic property changes
Seismic conditioning of static reservoir model properties such as porosity and lithology has
traditionally been faced as a solution of an inverse problem. Dynamic reservoir model …
traditionally been faced as a solution of an inverse problem. Dynamic reservoir model …