Results 21 to 30 of about 3,287,588 (278)

Prediction of Water Saturation from Well Log Data by Machine Learning Algorithms: Boosting and Super Learner

open access: yesJournal of Marine Science and Engineering, 2021
Intelligent predictive methods have the power to reliably estimate water saturation (Sw) compared to conventional experimental methods commonly performed by petrphysicists.
Fahimeh Hadavimoghaddam   +5 more
doaj   +1 more source

Sonic Log Prediction Based on Extreme Gradient Boosting (XGBoost) Machine Learning Algorithm by Using Well Log Data [PDF]

open access: yesBIO Web of Conferences
Sonic log is an important aspect that provides a detailed description of the subsurface properties associated with oil and gas reservoirs. The problem that frequently occurs is the unavailability of sonic log data for various reasons needs to be given an
Hakam Abdul   +5 more
doaj   +1 more source

Modelling dependency in multivariate paired comparisons:a log-linear approach. [PDF]

open access: yes, 2006
A log-linear representation of the Bradley-Terry model is presented for multivariate paired comparison data, where judges are asked to compare pairs of objects on more than one attribute.
Dittrich, Regina   +3 more
core   +1 more source

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

open access: yesGeosciences, 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   +1 more source

From time series to superstatistics [PDF]

open access: yes, 2005
Complex nonequilibrium systems are often effectively described by a `statistics of a statistics', in short, a `superstatistics'. We describe how to proceed from a given experimental time series to a superstatistical description.
Christian Beck   +6 more
core   +1 more source

Improved total organic carbon convolutional neural network model based on mineralogy and geophysical well log data

open access: yesUnconventional Resources, 2021
Unconventional resources, such as shale oil and gas, are currently regarded as an essential resource in the face of depleting conventional hydrocarbon reserves.
Solomon Asante-Okyere   +2 more
doaj   +1 more source

Threesomes, Degenerates, and Love Triangles [PDF]

open access: yes, 2014
The 3SUM problem is to decide, given a set of $n$ real numbers, whether any three sum to zero. It is widely conjectured that a trivial $O(n^2)$-time algorithm is optimal and over the years the consequences of this conjecture have been revealed. This 3SUM
Grønlund, Allan, Pettie, Seth
core   +1 more source

A preliminary study of the gas hydrate stability zone in a gas hydrate potential region of China

open access: yesEnergy Science & Engineering, 2020
Due to its significance for gas hydrate accumulation, the gas hydrate stability zone (GHSZ) is an essential condition for successful gas hydrate exploration and is usually controlled by three main factors: gas components, geothermal gradient, and ...
Kun Xiao   +5 more
doaj   +1 more source

A Grey System Approach for Estimating the Hölderian Regularity with an Application to Algerian Well Log Data

open access: yesFractal and Fractional, 2021
The Hölderian regularity is an important mathematical feature of a signal, connected with the physical nature of the measured parameter. Many algorithms have been proposed in literature for estimating the local Hölder exponent value, but all of them lead
Said Gaci, Orietta Nicolis
doaj   +1 more source

Bayesian Poisson Log-Bilinear Mortality Projections [PDF]

open access: yes, 2004
Mortality projections are major concerns for public policy, social security and private insurance. This paper implements a Bayesian log-bilinear Poisson regression model to forecast mortality.
Czado, Claudia, Delwarde, A., Denuit, M.
core   +2 more sources

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