Work experience

Surgutneftegas

M/LWD Engineer (measurement and logging while drilling)

May 2012 — October 2026

Responsibilities

  • Prepared, assembled and programmed M/LWD tools; ran surface tests before running in hole.
  • Made up the BHA: installed M/LWD tools in the drill string and set the tool face offset.
  • Rigged up and down surface acquisition systems and sensors: standpipe pressure, depth encoder, hook load.
  • Took inclination, depth and azimuth surveys to build 3D wellbore trajectories.
  • Worked with directional drillers on directional drilling.
  • Monitored drilling parameters: torque, weight on bit, rate of penetration, mud, pressure, vibration, stick-slip.
  • Analysed logging and drilling data when problems occurred.
  • Passed gamma ray and resistivity data to geologists.
  • Acquired data, generated logs, ran quality control and delivered results to the customer.
  • Daily reporting: Bursoft (Wellplan), Plotmanager, LAS files, Microsoft Office.
  • Kept the equipment inventory and supervised its movement to and from the well site.

Wells and conditions

Well depth
over 3,500 m MD
Horizontal departure
over 500 m
Temperature
abnormally high, above 100 °C
Well types
horizontal wells for multistage hydraulic fracturing; sidetracks
Drilling mud
including oil-based mud (Unidril by Akros)

Equipment

MWD systems
Baker Hughes INTEQ 3⅛″ (positive pulse), COMBO (GeoTrend)
Measurements
MPR resistivity, gamma ray, inclination and azimuth

Skills

Drilling and M/LWD

  • Logging while drilling
  • Wellbore placement and geosteering
  • Sidetrack wells
  • BHA handling and make-up
  • Stick-slip and vibration monitoring
  • Log and image data processing
  • Borehole correction
  • Rig-up and rig-down
  • Lifting and rigging

Artificial intelligence

From the professional retraining programme, 572 hours

  • Large language models and generative AI platforms
  • Prompt engineering
  • Data analysis, forecasting and reporting with AI
  • Business process automation and AI integration
  • Text generation and editing with language models
  • AI ethics, information security and legal aspects
  • AI adoption strategy for organisations

Software and data

  • ToolCom NT
  • Bursoft (Wellplan)
  • Plotmanager
  • LAS files
  • Microsoft Office, Excel

Languages

  • Russian — native
  • English — upper-intermediate
  • Romanian — upper-intermediate

Education and qualifications

Document Institution Programme Year
Bachelor’s degree Industrial University of Tyumen Petroleum Engineering (21.03.01 “Oil and Gas Engineering”) 2018
Coursera certificate Duke University, Coursera Oil & Gas Industry Operations and Markets 2025
Coursera certificate IBM, Coursera Generative AI: Prompt Engineering Basics 2026
Professional retraining diploma Sfera Foundation, Surgut “Use of Artificial Intelligence and Neural Networks in Professional Activity”, 572 hours. Qualification: Artificial Intelligence Specialist 2026
Retraining programme: 12 subjects
  1. Fundamentals of artificial intelligence and an overview of current AI tools46 h
  2. Modern large language models and generative AI platforms48 h
  3. Prompt engineering and designing queries for language models48 h
  4. Generating and editing text content with language models46 h
  5. Creating visual content and video with neural networks48 h
  6. Data analysis, forecasting and reporting with AI44 h
  7. Ethics, information security and legal aspects of AI44 h
  8. Business process automation and integrating AI solutions into corporate systems44 h
  9. AI in HR, marketing, sales and customer service44 h
  10. AI tools in project management and team productivity44 h
  11. AI adoption strategy in an organisation and team leadership56 h
  12. Practical training: developing and defending a final AI project60 h
Final project

“Drilling data analysis and automation of well control tasks (IWCF) using neural networks”. Defended on 17 April 2026.

How to verify the documents

The Coursera certificates can be verified at coursera.org/verify/BJ3KKMI9XE63 (IBM) and coursera.org/verify/N3VYZ1YORX1R (Duke University). Copies of diplomas are available on request.

Invite me to an interview

I am open to job offers. Email or call me with the position, the company and a convenient time to talk.

Download resume (PDF) Send an email

Contacts

Citizenship
Moldova
Telegram · WhatsApp
Telegram · WhatsApp +7 982 505-10-72
Documents
copies of diplomas on request
Coursera certificates: IBM · Duke University

© 2026 Maxim Curcubet

M/LWD Engineer · Artificial Intelligence Specialist

Made on
Tilda