Results 41 to 50 of about 2,432 (164)

Depositional setting analysis using seismic sedimentology: Example from the Paleogene Lishagang sequence in the Fushan depression, South China Sea

open access: yesGeodesy and Geodynamics, 2017
The Fushan depression is a classic lacustrine rifted sub-basin in the Beibuwan Basin, South China Sea. The Paleogene Liushagang sequence is the main hydrocarbon-bearing stratigraphic unit in the depression.
Yuan Li, Song Lin, Hua Wang, Denggui Luo
doaj   +1 more source

Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South China Sea

open access: yesEnergies
The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited ...
Zhilong Chen   +3 more
doaj   +1 more source

Application of seismic attribute analysis in fluvial seismic geomorphology

open access: yesJournal of Petroleum Exploration and Production Technology, 2019
Seismic attributes can be important predictors, either qualitative or quantitative, of reservoir geometries when they are correctly used in reservoir characterization studies.
Shakhawat Hossain
doaj   +1 more source

Geologic causatives of the stratigraphic and structural heterogeneties of Baharyia formation, based on their seismic interpretation, Razzak field, Western Desert, Egypt

open access: yesGeomechanics and Geophysics for Geo-Energy and Geo-Resources
Evaluation of seismic attributes and seismic reflection characteristics analysis of Razzak Field was undertaken by subdividing the study area rock units. There are four seismo-facies units of varying parameters from top to bottom.
Mostafa M. Metwally   +1 more
doaj   +1 more source

Researching Holocene Sediments at Bac Lieu Offshore, Vietnam with Insights from Near-Surface 2D Reflection Seismic Data

open access: yesGeosciences
The high-resolution seismic method can provide acoustic reflectivity images of shallow marine geology structures. In South Vietnam, the demand for construction materials like sand is high; therefore, the exploration of its deposits is considered in this ...
Dung Quang Nguyen   +3 more
doaj   +1 more source

Deep-learning-based natural fracture identification method through seismic multi-attribute data: a case study from the Bozi-Dabei area of the Kuqa Basin, China

open access: yesFrontiers in Earth Science
Fractures play a crucial role in tight sandstone gas reservoirs with low permeability and low effective porosity. If open, they not only significantly increase the permeability of the reservoir but also serve as channels connecting the storage space ...
Yongliang Tang   +27 more
doaj   +1 more source

Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity

open access: yesGeosciences
Amid increasing interest in enhanced oil recovery and carbon geological sequestration programs, improved static reservoir lithofacies models are emerging as a requirement for well-guided project management.
Papa Owusu   +2 more
doaj   +1 more source

Ensemble of Neural Networks Utilizing Seismic Attributes for Rock‐Property Inversion With Uncertainty Estimation

open access: yesEarth and Space Science
Seismic inversion holds significant importance across various domains of geoscience and engineering, including the characterization of energy resource reservoirs, the assessment of polluted sites, and CO2 storage.
M. Ntibahanana   +5 more
doaj   +1 more source

Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt

open access: yesGeomechanics and Geophysics for Geo-Energy and Geo-Resources
The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is a major challenge. Seismic attribute analysis can enhance the tracking of subtle stratigraphic features.
Shaimaa A. El-Dabaa   +3 more
doaj   +1 more source

Correlation of artificial neural network and multi-attribute transformation: a test case to predict the effective porosity of Cretaceous sandstones of the Sembar Formation, southeast Pakistan

open access: yesFrontiers in Earth Science
Accurate prediction of reservoir properties through linear transformation and regression methods are successful in limited cases but are often geologically unrealistic and have no concrete theoretical foundation.
Furqan Aftab   +6 more
doaj   +1 more source

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