Smart Digital Solution for Field Development Planning Optimization

Project Information

Smart_FDP

Grant agreement ID: 101111369

DOI

10.3030/101111369

Project closed

EC signature date 12 April 2023

Start date 1 September 2023

End date 31 August 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 226 751,04

Coordinated by

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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.

Publications

Conference proceedings (4)

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

Author(s): K. Redouane, V. Hatleli, V. Rafael de Freitas and A. Jahanbani Ghahfarokhi
Published in: 86th EAGE Annual Conference & Exhibition, 2025
Publisher: EarthDoc
DOI: 10.3997/2214-4609.2025101390

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

Author(s): Kheireddine Redouane, Ashkan Jahanbani Ghahfarokhi
Published in: SPE Reservoir Simulation Conference, 2025
Publisher: SPE
DOI: 10.2118/223867-MS

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

Author(s): K. Redouane, A. Jahanbani Ghahfarokhi, M. Benamara, M. Boussaber, Y. Guidoum, M. Sedoud
Published in: 85th EAGE Annual Conference & Exhibition, 2025
Publisher: 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

Author(s): Kheireddine Redouane; Ashkan Jahanbani Ghahfarokhi; Benamara Mustapha; Zeraibi Nourddine
Published in: 3rd Edition of International Conference on Oil, Gas, and Petroleum Engineering, 2024
Publisher: Magnus Group LLC