Smart Digital Solution for Field Development Planning Optimization

Informazioni relative al progetto

Smart_FDP

ID dell’accordo di sovvenzione: 101111369

DOI

10.3030/101111369

Progetto chiuso

Data della firma CE 12 Aprile 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 226 751,04

Coordinato da

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (4)

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

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

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

Autori: Kheireddine Redouane, Ashkan Jahanbani Ghahfarokhi
Pubblicato in: SPE Reservoir Simulation Conference, 2025
Editore: SPE
DOI: 10.2118/223867-MS

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

Autori: K. Redouane, A. Jahanbani Ghahfarokhi, M. Benamara, M. Boussaber, Y. Guidoum, M. Sedoud
Pubblicato in: 85th EAGE Annual Conference & Exhibition, 2025
Editore: 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

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