Results 11 to 20 of about 1,795,672 (89)
Electrofacies classification is essential for reservoir characterization, as it links well-log responses to lithological and petrophysical properties. A data-driven workflow was developed for electrofacies classification using routine well logs from an ...
Sadegh Saffarzadeh Hosseini +2 more
doaj +2 more sources
Electrofacies classification of a mixed carbonate-siliciclastic reservoir using machine learning techniques [PDF]
Many scientific fields, including the geosciences, have successfully employed machine learning to address numerous significant issues. Current studies show that the application of machine learning within the geosciences is still in its early stages, and ...
MUHAMMAD RIDHA ADHARI +3 more
doaj +2 more sources
Geologically constrained electrofacies classification of fluvial deposits: an example from the Cretaceous Mesaverde Group, Uinta and Piceance basins [PDF]
Statistical classification methods consisting of the k-nearest neighbor algorithm (k-NN), a probabilistic clustering procedure (PCP), and a novel method which incorporates outcrop-based thickness criteria through the use of well-log-indicator flags are ...
Allen, Daniel
core +8 more sources
Prediction of Electrofacies Based on Flow Units Using NMR Data and SVM Method: a Case Study in Cheshmeh Khush Field, Southern Iran [PDF]
The classification of well-log responses into separate flow units for generating local permeability models is often used to predict the spatial distribution of permeability in heterogeneous reservoirs.
Mahdi Rastegarnia +3 more
doaj +1 more source
Amplitude map from the Oligocene–Miocene Marlim unit, which records the stratigraphic evolution of a turbidite system on a dynamic stepped submarine slope with multiple entry and exit points and fill‐and‐spill cycles. Abstract The classic fill‐and‐spill model is widely applied to interpret topographic controls on depositional architecture and facies ...
Junia Casagrande +3 more
wiley +1 more source
The main goal of the present study was to analyze the Albian carbonates of the passive margin of South America through the standpoint of sequence stratigraphy and carbonate factories. For this purpose, well data, 2D and 3D seismic data were employed. As a result, the succession was subdivided into five third order sequences that register the evolution ...
Taynah Buratto Rebelo +2 more
wiley +1 more source
The aim of this study was to propose an integrated workflow to quantify detrital input into autochthonous lacustrine deposits in terms of regional extent and total organic carbon (TOC) content. This workflow includes (a) organic geochemical data such as Rock Eval data together with quantitative palynofacies assessment and (b) palaeogeographical maps ...
Françoise Behar +2 more
wiley +1 more source
EVALUACIÓN DE ELECTROFACIES EN UN YACIMIENTO DE LA FRANJA PETROLERA NORTE CUBANA: Electrofacies evaluation in a deposit of Cuban Oil North Belt [PDF]
This paper shows the results obtained after applied multivariate statistical classification techniques on geophysical logs in wells located in Cuban Oil North Belt, in Habana del Este field.
RODRÍGUEZ MIRANDA, Willy Roberto +1 more
core +1 more source
This work presents a novel algorithm that achieves enhanced resolution of well logging signals, e.g., from 1 ft of a pulsed neutron mineralogy tool to 0.04 ft of an imaging tool. The algorithm, denoted as “Digital Core,” combines mineralogical and sedimentological information to generate a high‐resolution record of the formation mineralogy which can be
Qiong Zhang +2 more
wiley +1 more source
Electro-facies classification based on core and well-log data
Facies studies represent a key element of reservoir characterization. In practice, this can be done by making use of core and petrophysical data. The high cost and difficulties of drilling and coring operations coupled with the time-intensive nature of ...
Reda Al Hasan +3 more
doaj +1 more source

