photo de profil d'un membre

Erwan

CV EdB

35 ans - PARIS (75015) France

Situation professionnelle

En recherche active

Souhait professionnel

Poste
Data analyst/scientist
Experience
De 6 à 10 ans
Rémuneration
Entre 55 k€ et 100 k€
Type de contrat
Autre, CDD, Limited
Mobilité
31 Haute-Garonne - Indifférent
Fonctions
- Ingénieur d'études et de recherche
- Chef de projet
- Ingénieur analyse / conception
Secteurs
- Production d'énergie, Extraction
- Ingénierie
- Mécanique, Métallurgie, Sidérurgie, Construction navale

Résumé

I wish to involve machine learning in industry engineering to help people solving their challenges. Investigate new solutions for complex projects is part of my motivation. People qualify me as curious / explorer and determined.

Expériences professionnelles

Data mining engineer

ENI , Sandnes - Autre

De Juin 2023 à Octobre 2024

- Set-up and run Well integrity database
- Build analysis and surveillance tools to monitor the systems and provide management reporting
- Clean and connect databases together, run queries to exchange information between systems

Digitalization engineer

ENI , Sandnes - Autre

De Juin 2022 à Avril 2023

- Connect to APIs
- ETL data into Power BI service
- Creation of Power BI dashboard from various databases and build KPIs
- Training and deployment of machine learning models with Azure Machine Learning

Drilling & digitalization engineer

THREE60 Energy , Stavanger - CDI

De Novembre 2021 à Janvier 2025

- Drilling & completion studies and projects
- Internal digital projects
- Data analysis studies for Norwegian government on temporary abandoned wells

Research engineer

Armines , Paris - CDD

De Novembre 2020 à Juillet 2021

Investigation of drilling vibrations identification with machine learning:

- Extract, transform and clean the data
- Exploration of the data with unsupervised learning et dimensional reduction techniques (t-SNE).
- Apply computer vision techniques (attention mechanism, gradcam, etc) to drilling logs (time series) with convolutional neural networks (CNN).
- Define a method to train machine learning algorithms on drilling logs from different wells.
- Training neural network model to predict stick-slip vibration from rig standard surface parameters.

Drilling engineer

DrillScan , Pau - CDI

De Avril 2017 à Janvier 2020

Perform engineering studies (BHA and Drill String Design Analysis & Well Construction Engineering) for oil & gas operators and service companies with DrillScan softwares:

- DirectionalDrillingengineering:BHAdesign,BHA&bitoptimization
- Drill String Mechanics: Torque and Drag and Buckling, vibrations analysis in deviated, horizontal and ERD wells (Alwyn-UK, Tilenga-Uganda, Al-Khalij-Qatar). Completion RIH, deep liner deployment, jar placement, back- off procedure, etc. Drill String Fatigue post-analysis on DP failure. Drillstring fatigue prediction on short radius well campaign (Rabi field in Gabon).
- WellIntegrity:Casingdesignonexplorationwell(AyamefieldinIndonesia). Casing wear prediction and post-analysis with calliper logs for deepwater (North Platte) and HPHT wells (Elgin-Franklin, Glendronach).
- Well planning, trajectory reconstruction with mapping of local dog legs and casing deformation and standoff.
- Rig sizing for side-track campaign on Rio del rey (Cameroon) optimizing BHA for most challenging wells in directional drilling and hydraulics.
- Pseudo real-time drilling dysfunctions monitoring for geothermal (Ilkirch, Vendenheim), shale gas wells (Vaca muerta) and HPHT (West Shetland). Post-Well MSE (Mechanical Specific Energy) analysis and bit design optimization on Elgin- Franklin and Vaca muerta.

Provide training on DrillScan softwares: WellScan trainings for Total, IFP (French Petroleum Institute) and RigFlower, BitScan training for Micon Drilling.

Business development: seek for new clients and new opportunities with known clients. Answer to clients needs by proposing engineering scope of work. Visit clients for service quality meeting.

Vie technical manager field service

Vallourec , Boulogne-billancourt - VIE

De Juin 2015 à Février 2017

Implementation of API Q2 standard in VAM® Field Service Mexico.

- Audit of the field service center and set up action plan to monitor progress and reach objectives.
- Field experience on onshore rigs supervising running operations of OCTG to ensure well integrity.
- Training of field service technicians on VAM® connections, good field practices, service reports and procedures. Performing competency assessment at rig site (OPITO competency assessor).
- Implementation of VAM® Field Service international database in Mexico. Train field service staff and technicians to use the database and adapt it to local needs. Improvement of the database and global management system.
- Support global management building reports from database (KPI, OCTG statistics, etc).
- Involved in projects to introduce new services for customers and improve safety on drilling rigs.

Following training program (VAM® Academy, OPITO Competency Assessor and management IT systems) the first three months in Aberdeen, UK.

Project interface engineer

Total , Courbevoie - Stage

De Septembre 2014 à Février 2015

Qualification of CNG (Compressed Natural Gas) marine transport technology. Expertise with specialists of pressure vessels, ship structure, maintenance and process. Achievement of safety engineering study QRA (Quantitative Risk Assessment). Evaluation of technology performance through logistical simulations. In charge of coordination and leading action plan with specialists and partners

Formations complémentaires

General Mechanical Engineer

Ecole Nationale Supérieure d’Art et Métiers (ENSAM)

2011 à 2015

Leading French Graduate School of General and Mechanical Engineering. Diploma equal
to Masters of Science (MSc)

Data Analyst

Ironhack - Data analysis, data visualisation, machine learning

2020 à 2020

9 weeks intensive course and practice on the following topics:

- Data Analysis using Git, Python, MySQL, Statistical Analysis
- Data wrangling and cleaning, APIs and web scraping
- Inferential statistics and probability
- Data visualization using Matplotlib, Seaborn, Tableau
- Supervised & Unsupervised Machine Learning

Parcours officiels

VIE – MEXIQUE – 2017

Langues

Anglais - Courant

Espagnol - Courant

Français - Langue maternelle

Norvégien Bokmal - Notions

Compétences

Python
Tableau
Drilling and Well Engineering
MySQL
Machine Learning
Data analysis
deep learning
Convolutional Neural Networks (CNN)
Keras
tensorflow
Python (Programming Language)
Time-series Prediction
Data Analysis / Analse de donnees
Forage
Data Analysis Expressions (DAX)
Power BI
Microsoft Power BI
API
Mechanical Integrity