The quintessential s-shape in sedimentology: A review on the formation and controls of clinoform shape

I Anell - Earth-Science Reviews, 2024 - Elsevier
Clinoforms are ubiquitous depositional surfaces in sedimentary systems. The quintessential
shape, with a flat or gentle topset, sloping foreset, and gentle to flat bottomset, is …

Mixed siliciclastic–carbonate systems and their impact for the development of deep-water turbidites in continental margins: A case study from the Late Jurassic to Early …

L Moscardelli, J Ochoa, I Lunt, L Zahm - AAPG Bulletin, 2019 - pubs.geoscienceworld.org
Progradation of deltaic systems that reach the shelf edge is considered a primary
mechanism to deliver sand to continental margins. Sediment bypass processes can …

Palaeoenvironmental reconstruction of lacustrine source rocks in the lower 1st Member of the Shahejie Formation in the Raoyang Sag and the Baxian Sag, Bohai Bay …

J Yin, Q Wang, F Hao, L Guo, H Zou - Palaeogeography, Palaeoclimatology …, 2018 - Elsevier
Abstract The lower 1st Member (Es1L) of the Oligocene Shahejie Formation is the most
important source rock interval in the Raoyang Sag and the Baxian Sag. To reveal the …

Estimation of Petrophysical Properties Using Linear Programming Sparse Spike Inversion and Deep Feed-Forward Neural Network Techniques Over F3 Block …

R Singh, PK Kushwaha, SP Maurya, P Rai - Pure and Applied Geophysics, 2024 - Springer
In this study, acoustic impedance (P-impedance) distribution in the subsurface of the F3
block, Netherlands is determined using the linear programming (l1-norm) sparse spike …

Porosity prediction from offshore seismic data of F3 Block, the Netherlands using multi-layer feed-forward neural network

PK Kushwaha, SP Maurya, P Rai, NP Singh - Current Science, 2020 - JSTOR
In the present study, seismic and well log information is incorporated with a multi-layer feed-
forward neural network (MLFN) to predict porosity in the inter-well region. The aim of this …

Use of maximum likelihood sparse spike inversion and probabilistic neural network for reservoir characterization: a study from F-3 block, the Netherlands

PK Kushwaha, SP Maurya, NP Singh, P Rai - Journal of Petroleum …, 2020 - Springer
Maximum likelihood sparse spike inversion (MLSSI) method is commonly used in the
seismic industry to estimate petrophysical parameters in inter-well region. In present study …

Stratigraphic coordinates: A coordinate system tailored to seismic interpretation

P Karimi, S Fomel - Geophysical Prospecting, 2015 - earthdoc.org
In certain seismic data processing and interpretation tasks such as spiking deconvolution,
tuning analysis, impedance inversion, and spectral decomposition, it is commonly assumed …

[PDF][PDF] SAI-advanced solution to geologic objectives

A Gorbunov, E Lavrenova - Preprint, DOI, 2018 - researchgate.net
New global seismic interpretation technology, called SAI (Stratigraphic Artificial Intelligence)
is introduced. SAI is fully-automatic and does not involve any manual piking or constrains …

[PDF][PDF] Seismic stratigraphic analysis using multiple attributes-an application to the f3 block, offshore Netherlands

E Kabaca - 2018 - ir.ua.edu
Seismic stratigraphy analyzes the geological concepts of stratigraphy by identifying the
seismic reflection termination patterns that may record stratal terminations such as onlaps …

[PDF][PDF] Estudio regional para la evaluación de la formación Vaca Muerta: generación de transecta geofísica

J Tavella, J Carrero, D Epelboim, S Nielsen, F Späth… - iapg.org.ar
El yacimiento no convencional asociado a la formación Vaca Muerta del Jurásico Superior
de la cuenca Neuquina abarca una extensión de 36.000 km2 en las provincias de …