[HTML][HTML] A real-time intelligent lithology identification method based on a dynamic felling strategy weighted random forest algorithm
T Yan, R Xu, SH Sun, ZK Hou, JY Feng - Petroleum Science, 2024 - Elsevier
Real-time intelligent lithology identification while drilling is vital to realizing downhole closed-
loop drilling. The complex and changeable geological environment in the drilling makes …
loop drilling. The complex and changeable geological environment in the drilling makes …
Utilizing integrated artificial intelligence for characterizing mineralogy and facies in a pre-salt carbonate reservoir, Santos Basin, Brazil, using cores, wireline logs, and …
In complex carbonate reservoirs, it is crucial to understand the connections between
reservoir compositions (minerals, facies, and properties). Conventionally, core samples …
reservoir compositions (minerals, facies, and properties). Conventionally, core samples …
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 …
Application of unsupervised learning and deep learning for rock type prediction and petrophysical characterization using multi-scale data
This study integrates well log data, routine core analyses, microcomputed X-ray tomography
(μ CT) images, and sedimentary petrography to accurately characterize and evaluate the …
(μ CT) images, and sedimentary petrography to accurately characterize and evaluate the …
[HTML][HTML] Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin's Presalt Carbonate Reservoir
Carbonate reservoirs, influenced by depositional and diagenetic processes and
characterized by features like faults and vugs that impact storage capacity, require more …
characterized by features like faults and vugs that impact storage capacity, require more …
Porosity prediction with uncertainty quantification from multiple seismic attributes using random forest
Inferring porosity of subsurface from seismic data is of profound significance to many fields
of Earth science and engineering applications, including but not limited to: hydrocarbon …
of Earth science and engineering applications, including but not limited to: hydrocarbon …
Estimating shear wave velocity in carbonate reservoirs from petrophysical logs using intelligent algorithms
Shear-wave velocity (V s) is a key petrophysical data for a wide spectrum of applications in
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
the upstream oil industry. In many wells, however, the corresponding log cannot be acquired …
Deep carbonate reservoir characterisation using multi-seismic attributes via machine learning with physical constraints
Seismic characterisation of deep carbonate reservoirs is of considerable interest for
reservoir distribution prediction, reservoir quality evaluation and reservoir structure …
reservoir distribution prediction, reservoir quality evaluation and reservoir structure …
Deep neural Helmholtz operators for 3-D elastic wave propagation and inversion
Numerical simulations of seismic wave propagation in heterogeneous 3-D media are central
to investigating subsurface structures and understanding earthquake processes, yet are …
to investigating subsurface structures and understanding earthquake processes, yet are …
Missing sonic logs generation for gas hydrate-bearing sediments via hybrid networks combining deep learning with rock physics modeling
Logging-while-drilling (LWD) sonic data are critical for marine gas hydrate reservoir
evaluation and production prediction. However, acquiring complete acoustic logs …
evaluation and production prediction. However, acquiring complete acoustic logs …