Results 1 to 10 of about 6,879,798 (323)

A Mental Health and Well-Being Chatbot: User Event Log Analysis

JMIR mHealth and uHealth, 2023
BackgroundConversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people’s health
Frederick Booth, Courtney Potts, Raymond Bond, Maurice Mulvenna, Catrine Kostenius, Indika Dhanapala, Alex Vakaloudis, Brian Cahill, Lauri Kuosmanen, Edel Ennis   +9 more
doaj   +2 more sources

A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods

Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2023
Geological facies evaluation is crucial for the exploration and development of hydrocarbon reservoirs. To achieve accurate predictions of litho-facies in wells, a multidisciplinary approach using well log analysis, machine learning, and statistical ...
Jar Ullah, Huan Li, Umar Ashraf, Muhsan Ehsan, Muhammad Asad   +4 more
doaj   +2 more sources

MinInversion: A Program for Petrophysical Composition Analysis of Geophysical Well Log Data

Geosciences, 2018
Knowledge of the composition (mineral and fluid proportions) of rock formation lithologies is important for petrophysical and rock physics analysis. The mineralogy of a rock formation can be estimated by solving a system of linear equations that relate a
Adewale Amosu, Yuefeng Sun
doaj   +2 more sources

Upper Palaeogene-Lower Neogene Reservoir Characterization in Kirkuk, Bai Hassan and Khabaz Oil Fields, Northern Iraq

Tikrit Journal of Pure Science, 2023
The Upper Palaeogene-Lower Neogene succession represent subsurface sections from Kirkuk, Bai Hassan, and Khabaz oilfields were divided to many reservoir units dependent on information derived mainly from petrographical description, well log analysis ...
Yaseen S. Al-Jwaini, Ali D. Gayara
doaj   +1 more source

Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs

Artificial Intelligence in Geosciences, 2021
Derivative and volatility attributes can be usefully calculated from recorded gamma ray (GR) data to enhance lithofacies classification in wellbores penetrating multiple lithologies.
David A. Wood
doaj   +1 more source

Analysis of Psychological Well-Being from a Compositional Data Analysis Perspective: A New Approach

Behavioral Sciences, 2023
Well-being is a widely studied construct in psychology. In 1989, Carol Ryff proposed the “Scale of Psychological Well-Being (SPWB)”, which has been validated in multiple languages.
María Cortés-Rodríguez, Purificación Galindo-Villardón, Mercedes Sánchez-Barba, Eusebi Jarauta-Bragulat, José David Urchaga-Litago   +4 more
doaj   +1 more source

Application of Well Log Analysis to Assess the Petrophysical Parameters of the Early Eocene Sui Main Limestone (SML) in Kharnhak-1 Well, Middle Indus Basin, Pakistan [PDF]

Iranian Journal of Oil & Gas Science and Technology, 2016
The petrophysical analysis of the early Eocene Sui Main Limestone (SML) has been conducted in Kharnhak-1 well for the prospect of the hydrocarbon exploration of the Khairpur-Jacobabad High, Middle Indus Basin, Pakistan.
Asad Zia, Muhammad Awais, Muhammad Ishaq, Sardar Hamid, Naveed Akhtar, Lawangin Sheikh   +5 more
doaj   +1 more source

Optimized feature selection assists lithofacies machine learning with sparse well log data combined with calculated attributes in a gradational fluvial sequence

Artificial Intelligence in Geosciences, 2022
Machine learning (ML) to predict lithofacies from sparse suites of well-log data is difficult in laterally and vertically heterogeneous reservoir formations in oil and gas fields.
David A. Wood
doaj   +1 more source

Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: An Example of Miocene Deposits

Energies, 2020
The main purpose of the study is a detailed interpretation of the facies and relate these to the results of standard well logs interpretation. Different methods were used: firstly, multivariate statistical methods, like principal components analysis ...
Edyta Puskarczyk
doaj   +1 more source

Joint analysis of seismic and well log data applied for prediction of oil presence in Maykop deposits in Naftalan area

AIMS Geosciences, 2021
The paper is devoted to joint application of 3D seismic survey and well logging techniques to study oil and gas presence in Maykop deposits in Naftalan oil field.
Maleyka Agha Ali Aghayeva
doaj   +1 more source