Image de couverture de livre

Methodology to design of synthetic sonic log (SSL), using artificial neural networks. Colorado field application

Fuente: Redalyc

Enregistré dans:

Détails bibliographiques
Auteur principal:	Carlos-Andrés Ayala Marín
Format:	Artículo científico
Langue:	en
Publié:	ECOPETROL S.A. 2010
Sujets:	Ingeniería porosity sonic logs saturation permeability neural networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Detecting and characterizing fractures in sedimentary deposits with stoneley waves
par: Carlos Escandón
Publié: (2010)

Combined analysis of different logs in quantification of exhumation and its implications for hydrocarbon exploration, a case study from Australia
par: A. Mavromatidis
Publié: (2006)

Comparative study on porosity and permeability of conventional concrete and concrete with variable proportions of natural zeolite additions
par: Juan Carlos de la Cruz
Publié: (2015)

Correlation between permeability and porosity for pervious concrete (PC)
par: Gersson F. B. Sandoval
Publié: (2019)

Simulating elastic wave propagation in boreholes: Fundamentals of seismic response and quantitative interpretation of well log data
par: Rafael Ávila-Carrera
Publié: (2011)

Capacitive MEMS accelerometer wide range modeling using artificial neural network
par: A. Baharodimehr
Publié: (2009)

Mechanical and hydraulic performance of pervious concrete pavements: experimental evaluation*
par: Ester Anjos Viana
Publié: (2023)

Balancing of a rigid rotor using artificial neural network to predict the correction masses
par: Fábio Lúcio Santos
Publié: (2009)

Multistep predictive controllers based on neural network
par: Jorge Alaña
Publié: (2005)

Combination of morphology, wavelet and convex Hull features in classification of patchouli varieties with imbalance data using artificial neural network
par: Wayan Firdaus Mahmudy
Publié: (2021)

Design and implementation of an Inverse Neural Network Controller applied To VSC Converter for active and reactive Power Flow, based on regions of work
par: José Guillermo Guarnizo Marin
Publié: (2014)

Prediction of ternary ion-exchange equilibrium using artificial neural networks and Law of Mass Action
par: Rafael Luan Sehn Canevesi
Publié: (2012)

Mittag–Leffler synchronization for impulsive fractional-order bidirectional associative memory neural networks via optimal linear feedback control
par: Jiazhe Lin
Publié: (2021)

Daily river level forecast based on the development of an artificial neural network: case study in La Virginia - Risaralda
par: Tito Morales-Pinzón
Publié: (2015)

Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks
par: Jeyson A. Castillo
Publié: (2020)

CNN-Promoter, new consensus promoter prediction program based on neural networks
par: Óscar Bedoya
Publié: (2011)

Networks, obstacles, and resources for innovative performance: An analysis via neural networks for prediction in the manufacturing industry
par: Fernando Barrios
Publié: (2022)

Modeling of soil penetration resistance using statistical analyses and artificial neural networks
par: Fábio Lúcio Santos
Publié: (2012)

A Recurrent Neural Network for Warpage Prediction in Injection Molding
par: A. Alvarado-Iniesta
Publié: (2012)

Artificial Neural Networks for Classification Tasks: A Systematic Literature Review
par: Eduardo Molina Menéndez
Publié: (2024)

A constructive algorithm for unsupervised learning with incremental neural network
par: Jenq-Haur Wang
Publié: (2015)

An intelligent system for heart disease diagnosis using regularized deep neural network
par: P. Rani
Publié: (2023)

New product forecasting demand by using neural networks and similar product analysis
par: Alfonso T. Sarmiento
Publié: (2014)

Application of Weibull analysis and artificial neural networks to predict the useful life of the vacuum packed soft cheese
par: Jesús Alexander Sánchez-González
Publié: (2017)

Prediction of suspended sediment distribution of Karoon River using artificial neural network
par: Bahrami, H., et autres
Publié: (2018)

Analyzing and forecasting the global CO2 concentration - a collaborative fuzzy - neural agent network approach
par: T. Chen
Publié: (2015)

Effect of different combinations of size and shape parameters in the percentage error of classification of structural elements in vegetal tissue of the pumpkin Cucurbita pepo L. using probabilistic neural networks
par: Jimy Frank Oblitas-Cruz
Publié: (2016)

Prediction of modulus of elasticity and compressive strength of concrete specimens by means of artificial neural networks
par: José Fernando Moretti
Publié: (2016)

Structural control strategies based on magnetorheological dampers managed using artificial neural networks and fuzzy logic
par: Luis Lara
Publié: (2017)

River Flow Forecasting using artificial neural network (Shoor Ghaen)
par: Mohsen Rezaei
Publié: (2015)

Design of a rain rate retrieval algorithm using artificial neural network and the advanced technology microwave sounder
par: Erith Muñoz
Publié: (2016)

Performance of artificial neural networks and genetical evolved artificial neural networks unfolding techniques
par: J.M. Ortíz-Rodríguez
Publié: (2011)

Relationship between color and tannin content in sorghum grain: application of image analysis and artificial neural network
par: M Sedghi
Publié: (2012)

Power quality improvement in an AC network using artificial neural network and hysteresis band current controller
par: Abdul Mutai Sulehri
Publié: (2018)

Analysis of fat mass value, clinical and metabolic data and interleukin-6 in HIV-positive males using regression analyses and artificial neural network
par: Nurul Farhah Shamsuddin
Publié: (2022)

An artificial neural network-based method for the optimal control problem governed by the fractional parabolic equation
par: Darehmiraki, Majid, et autres
Publié: (2021)

Design of an application to detect covid-19 using convolutional neural networks and X-ray images
par: Carlos Eduardo Belman López
Publié: (2024)

Implementation and applications of chaotic oscillatory based neural network for wind prediction problems
par: K. M. KWONG
Publié: (2011)

Analysis of temporal behavior of climate variables using artificial neural networks: an application to mean monthly maximum temperatures on the Spanish Central Plateau
par: A. L. LABAJO
Publié: (2011)

Learning the therapeutic use of drugs from the three-dimensional spatial information of their molecular structure with convolutional neural networks
par: Jorge Mario Martínez-Conde
Publié: (2021)