Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data
The international commitments for atmospheric carbon reduction will require a rapid
increase in carbon capture and storage (CCS) projects. The key to any successful CCS …
increase in carbon capture and storage (CCS) projects. The key to any successful CCS …
Deep Learning Model for CO2 Leakage Detection Using Pressure Measurements
Geologic CO2 sequestration (GCS) has been considered a viable engineering measure to
decrease global CO2 emissions. The real-time monitoring to detect possible CO2 leakage is …
decrease global CO2 emissions. The real-time monitoring to detect possible CO2 leakage is …
Characterization of seismic-scale petrofacies variability in the Arbuckle Group using supervised machine learning: Wellington Field, Kansas
Abstract The Arbuckle Group in southern Kansas has been investigated for carbon
geosequestration-related studies. In this study, we evaluated the seismic-scale …
geosequestration-related studies. In this study, we evaluated the seismic-scale …
[图书][B] Reinforcement learning for well location optimization
K Dawar - 2021 - search.proquest.com
The strategic placement of exploratory wells during the process of hydrocarbon production is
critical for both the determination of the reservoir properties and the eventual profitability of …
critical for both the determination of the reservoir properties and the eventual profitability of …
Quantifying the effects of pressure management for the Williston basin Brine Extraction and Storage Test (BEST) site using machine learning
Active reservoir management (ARM) through brine extraction can reduce pressure buildup
during large-scale implementation of carbon capture and storage (CCS) projects. This study …
during large-scale implementation of carbon capture and storage (CCS) projects. This study …
Leak detection in carbon sequestration projects using machine learning methods: Cranfield site, Mississippi, USA
S Sinha, R Pires De Lima, Y Lin, A Y. Sun… - SPE Annual Technical …, 2020 - onepetro.org
Due to international commitments on carbon capture and storage (CCS), an increase in
CCS projects is expected in the near future. Saline aquifers and depleted hydrocarbon …
CCS projects is expected in the near future. Saline aquifers and depleted hydrocarbon …
Petrographic analysis with deep convolutional neural networks
R Pires de Lima - 2019 - shareok.org
Petrographic analysis is based on the microscopic description and classification of rocks
and is a crucial technique for sedimentary and diagenetic studies. When compared to hand …
and is a crucial technique for sedimentary and diagenetic studies. When compared to hand …