[HTML][HTML] Sequence stratigraphy of clastic and carbonate successions: applications for exploration and production of natural resources
AJC Magalhães, DGC Fragoso… - Brazilian Journal of …, 2021 - SciELO Brasil
Sequence stratigraphy is a method that unravels the evolution of sedimentation through time
and space within sedimentary basins. Nowadays, the exploration and production of natural …
and space within sedimentary basins. Nowadays, the exploration and production of natural …
[HTML][HTML] The application of seismic attributes and wheeler transformations for the geomorphological interpretation of stratigraphic surfaces: a case study of the f3 block …
This study was carried out in the Pliocene interval of the southern North Sea F3 Block in the
Netherlands. This research paper demonstrates how an integrated interpretation of …
Netherlands. This research paper demonstrates how an integrated interpretation of …
[HTML][HTML] First-order approximate analytical expressions of oblique incident elastic wave at an interface of porous media saturated with a non-viscous fluid
DY Zhou, XY Yin, XT Wen, XL He, ZH He - Petroleum Science, 2022 - Elsevier
The analysis technology of Amplitude Variation with Offset (AVO) is one of the important
methods for oil and gas reservoir prediction. Zoeppritz equation and its approximations are …
methods for oil and gas reservoir prediction. Zoeppritz equation and its approximations are …
[HTML][HTML] Machine Learning-Based Prediction of Well Logs Guided by Rock Physics and Its Interpretation
J Zhang, G Liu, Z Wei, S Li, Y Zayier, Y Cheng - Sensors, 2025 - mdpi.com
The refinement of acquired well logs has traditionally relied on predefined rock physics
models, albeit with their inherent limitations and assumptions. As an alternative, effective yet …
models, albeit with their inherent limitations and assumptions. As an alternative, effective yet …
Multi-parameter post-stack seismic inversion based on the cycle loop–semi-supervised learning
UN Prabowo - Computational Geosciences, 2025 - Springer
Seismic inversion is used to evaluate hydrocarbon reservoirs by inferring subsurface
physical properties from seismic data. The most prevalent seismic inversion method is post …
physical properties from seismic data. The most prevalent seismic inversion method is post …
[PDF][PDF] Application of Spectral decomposition and seismic attributes for channel geometry and infill lithology determination: a case study from the Southern North Sea …
KS Okiongbo, R Ombu - Int J Earth Sci Geophys, 2019 - academia.edu
Abstract In the Southern North Sea, 3D seismic data had been widely acquired to explore for
hydrocarbons, but interpretations of these datasets until now focus mainly on the deep …
hydrocarbons, but interpretations of these datasets until now focus mainly on the deep …
Plio-Pleistocene stratigraphic sequences and depositional model using 3D seismic interpretation constrained by well logs in Central Graben, North Sea
This work presents depositional and structural model of Plio-Pleistocene delta of southern
Central Graben offshore basin of Netherlands, based on seismic reflections and well logs …
Central Graben offshore basin of Netherlands, based on seismic reflections and well logs …
Integration of sequence stratigraphic analysis and 3D geostatistical modeling of Pliocene–Pleistocene delta, F3 Block, Netherlands
HA Khan, AA Shahid, MJ Khan… - Acta Geologica …, 2023 - Wiley Online Library
This research is focused on the analysis of the sequence stratigraphic units of F3 Block,
within a wave‐dominated delta of Plio–Pleistocene age. Three wells of F3 block and a 3D …
within a wave‐dominated delta of Plio–Pleistocene age. Three wells of F3 block and a 3D …
Features denoising-based learning for porosity classification
Reservoir characterization is one of the most challenging tasks that help in modeling
different lithological properties like porosity, permeability and fluid saturation using seismic …
different lithological properties like porosity, permeability and fluid saturation using seismic …
Gas-bearing reservoir characterization using an adjusted Parzen probabilistic network
The Parzen probabilistic network which is based on the Bayes theorem was developed
using three wells in gas reservoir F3 to estimate porosity distribution. It used seismic …
using three wells in gas reservoir F3 to estimate porosity distribution. It used seismic …