Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models ; day:24 ; month:7 ; year:2024 ; pages:1-20
Multiscale and multidisciplinary modeling, experiments and design ; (24.7.2024), 1-20

Classification: Elektrotechnik, Elektronik

Creator: Krishna, Shwetank
Irfan, Sayed Ameenuddin
Keshavarz, Sahar
Thonhauser, Gerhard
Ilyas, Suhaib Umer

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41939-024-00542-z

URN: urn:nbn:de:101:1-2410100731266.039793277113

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Krishna, Shwetank
Irfan, Sayed Ameenuddin
Keshavarz, Sahar
Thonhauser, Gerhard
Ilyas, Suhaib Umer
SpringerLink (Online service)

Other Objects (12)

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Assessment of Roughness Characterization Methods for Data-Driven Predictions

Data-Driven Modeling and Analysis of Numerical Weather Predictions

Modeling and petrophysical properties of digital rock models with various pore structure types: An improved workflow

Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Estimation of pore-type distribution utilizing petrophysical data and rock physics modeling on an Iranian carbonate reservoir

Prediction of permeability of highly heterogeneous hydrocarbon reservoir from conventional petrophysical logs using optimized data-driven algorithms

Data-driven predictions of complex organic mixture permeation in polymer membranes

Corrigendum: Data‐Driven Intelligent Manipulation of Particles in Microfluidics

Impacts of Mineralogy on Petrophysical Properties

Structure–property predictions in metallic glasses: Insights from data-driven atomistic simulations

Coded environments: data-driven indoor localisation with reconfigurable intelligent surfaces

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Related objects

Reset password