Unsupervised machine learning-based multi-attributes fusion dim spot subtle sandstone reservoirs identification utilizing isolation forest
Subtle sandstone reservoirs are difficult to identify due to their weak seismic responses.
Here, we propose to identify subtle sandstone reservoirs by an unsupervised machine …
Here, we propose to identify subtle sandstone reservoirs by an unsupervised machine …
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
N Wang, LJ Durlofsky - arXiv preprint arXiv:2408.01575, 2024 - arxiv.org
Geological carbon storage entails the injection of megatonnes of supercritical CO2 into
subsurface formations. The properties of these formations are usually highly uncertain …
subsurface formations. The properties of these formations are usually highly uncertain …
Carbonate rock physics model using different approaches to estimate rock frame stiffness
Deepwater carbonate reservoirs in the Brazilian pre-salt have emerged as significant
hydrocarbon plays in the region and globally. Seismic monitoring of these reservoirs is …
hydrocarbon plays in the region and globally. Seismic monitoring of these reservoirs is …
Efficient proxy for time-lapse seismic forward modeling using a U-net encoder–decoder approach
The time-lapse seismic (4D seismic) forward modeling provides crucial data for calibrating
reservoir models through different data assimilation algorithms. Unfortunately, the traditional …
reservoir models through different data assimilation algorithms. Unfortunately, the traditional …
Ann Proxy Model for Seismic Forward Modelling; a 4D Seismic History Matching Case Study
RA Kolajoobi, C MacBeth, J Landa - Fifth EAGE Conference on …, 2023 - earthdoc.org
Time and computation issues have always been inseparable issues for studies such as 4D
seismic history matching (4D SHM) as they need numerous reservoir flow simulation runs …
seismic history matching (4D SHM) as they need numerous reservoir flow simulation runs …