Evaluation of principal component analysis for reducing seismic attributes dimensions: Implication for supervised seismic facies classification of a fluvial reservoir from …
Because of their effectiveness in identifying geologic features, seismic attributes are usually
used as input to machine learning (ML) models for facies classification. Typically, too many …
used as input to machine learning (ML) models for facies classification. Typically, too many …
Enhancing machine learning-based seismic facies classification through attribute selection: application to 3D seismic data from the Malay and Sabah Basins, offshore …
Over the past few years, the use of machine learning has gained considerable momentum in
many industries, including exploration seismic. While supervised machine learning is …
many industries, including exploration seismic. While supervised machine learning is …
Seismic sedimentology analysis of fluvial-deltaic systems in a complex strike-slip fault zone, Bohai Bay Basin, China: Implications for reservoir prediction
The Miocene fluvial-deltaic system in the Bohai Bay Basin exhibits difficulties in favourable
reservoir prediction in a complex strike-slip fault zone in the Tanlu fault system. On the basis …
reservoir prediction in a complex strike-slip fault zone in the Tanlu fault system. On the basis …
On the training sample size and classification performance: An experimental evaluation in seismic facies classification
Abstract Machine learning algorithms (MLAs) perform better when enough high-quality
training data is provided. However, a lack of training data is frequent in seismic facies …
training data is provided. However, a lack of training data is frequent in seismic facies …
Geomorphological geometries and high-resolution seismic sequence stratigraphy of Malay basin's fluvial succession
This study identified the Pleistocene depositional succession of the group (A)(marine,
estuarine, and fluvial depositional systems) of the Melor and Inas fields in the central Malay …
estuarine, and fluvial depositional systems) of the Melor and Inas fields in the central Malay …
Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta …
The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is
a major challenge. Seismic attribute analysis can enhance the tracking of subtle …
a major challenge. Seismic attribute analysis can enhance the tracking of subtle …
Geostatistical inversion of spectrally broadened seismic data for re-evaluation of oil reservoir continuity in Inas field, offshore Malay Basin
The application of geostatistics in seismic inversion techniques has been proven somewhat
reliable in the delineation of reservoir properties and has recently attracted the attention of …
reliable in the delineation of reservoir properties and has recently attracted the attention of …
Machine learning-based seismic characterization of deepwater turbidites in the Dangerous Grounds area, Northwest Sabah, offshore Malaysia
I Babikir, M Elsaadany - Acta Geophysica, 2024 - Springer
Seismic interpretation is a critical aspect of hydrocarbon exploration, where geoscientists
often struggle to accurately recognize patterns and anomalies in large datasets. Machine …
often struggle to accurately recognize patterns and anomalies in large datasets. Machine …
Multiattribute analysis of a Pleistocene fluvial system using RGB color blending and self-organizing maps
A multiattribute analysis has been carried out on near-surface Pleistocene strata where the
seismic data quality is very good. Relevant seismic attributes that have a proven application …
seismic data quality is very good. Relevant seismic attributes that have a proven application …
Characterizing the subsea Pleistocene fluvial system of the Sunda shelf, offshore Malaysia, using multiattribute corendering and self-organizing maps
The advancement of multiattribute analysis techniques has significantly improved the ability
to capture subtle geologic information that is not easily detected on the original seismic. The …
to capture subtle geologic information that is not easily detected on the original seismic. The …