Smart Digital Solution for Field Development Planning Optimization

Projektinformationen

Smart_FDP

ID Finanzhilfevereinbarung: 101111369

DOI

10.3030/101111369

Projekt abgeschlossen

EK-Unterschriftsdatum 12 April 2023

Startdatum 1 September 2023

Enddatum 31 August 2025

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 226 751,04

Koordiniert durch

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cyclefor all data sets that will be collected, processed or generated by the action. It is adocument describing what data will be collected, processed or generated andfollowing what methodology and standards, whether and how this data will beshared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact ofthe project, including the dissemination and exploitation measures that are planned,and the target group(s) addressed. Regarding communication measures and publicengagement strategy, the aim is to inform and reach out to society and show theactivities performed, and the use and the benefits the project will have for citizens.

Veröffentlichungen

Conference proceedings (4)

A Hybrid Model of ANN and KNN for Predicting Reservoir Properties in Geothermal Resource Development

Autoren: K. Redouane, V. Hatleli, V. Rafael de Freitas and A. Jahanbani Ghahfarokhi
Veröffentlicht in: 86th EAGE Annual Conference & Exhibition, 2025
Herausgeber: EarthDoc
DOI: 10.3997/2214-4609.2025101390

Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence

Autoren: Kheireddine Redouane, Ashkan Jahanbani Ghahfarokhi
Veröffentlicht in: SPE Reservoir Simulation Conference, 2025
Herausgeber: SPE
DOI: 10.2118/223867-MS

Flow Rate Prediction in a Real Oil Field Using Random Forest Algorithm

Autoren: K. Redouane, A. Jahanbani Ghahfarokhi, M. Benamara, M. Boussaber, Y. Guidoum, M. Sedoud
Veröffentlicht in: 85th EAGE Annual Conference & Exhibition, 2025
Herausgeber: European Association of Geoscientists & Engineers
DOI: 10.3997/2214-4609.2024101152

Accurate Prediction of Bottom-hole Pressure in Vertical Wells of Algerian Fields using A New Hybrid Intelligent System Based on Neural Network -Fuzzy Logic and PSO Algorithm

Autoren: Kheireddine Redouane; Ashkan Jahanbani Ghahfarokhi; Benamara Mustapha; Zeraibi Nourddine
Veröffentlicht in: 3rd Edition of International Conference on Oil, Gas, and Petroleum Engineering, 2024
Herausgeber: Magnus Group LLC