Lowering the Operational Costs through Improving Crew Readiness and - PowerPoint PPT Presentation

Lowering the Operational Costs through Improving Crew Readiness and Automated Real-time Decision support using Digital Twin eDrilling – a world leading supplier of AI, machine learning, and predictive analytics solutions to the oil and gas industry

T ech chnolo ology gy fo founda dation ion Mode del ba base sed d reaso sonin ning g in AI Dynamic Model Dynamic Model Thermohydraulic wellbore model: Torque and drag with ROP model Mass, Momentum and Energy conservation     ( ) ( ) 1  2 + 2  −    3 R E d  1 cos cos  , d equations for the drilling system  1 1   2 3 E    2 ( ) =     =  ( ) 2 ( ) T r w sin d 3   + 2 2 R E d cos f f n ,  1 0 2  ( ) ( )    −  2 2 cos cos ( )      + −    2 1 2 R 1 cos , d    1 2 3 E    • Static and dynamic Density • WOB from hook load or vice versa. • Pressure and flow • TOB from surface torque or vice versa. • Temperature • Axial and rotational friction factors • Rheology of different fluid • Bit depth corrections due to string elasticity, • Frictional pressure loss buoyancy, pump rates and pressure • Cuttings load and transport in the annulus • Well depth • Gains/losses across pits • Rotational speed and block speed • Kick development and kick tolerance • Drag forces • Multiphase flow • Nozzle pulse

Mode del Base sed d Re Reaso sonin ning g AI

PLAN OPERATE PREPARE ANALYSE Trial-run of well, Lessons learned/ procedure/equipment competence transfer Well construction Real-time optimization, testing, training planning and design automated monitoring

Why pr pre-dr drill ill a well l in si simu mula lato tor? r? Pre-operati operations ns chall llen enges ges Crew Crew T esting new competence readiness equipment Advanced nced Simulato ulator for operat ationa onal preparati aration on and traini ining ng

wellSim • For engineering and training of all well engineering disciplines • Advanced downhole simulator with: • Dynamic ROP model • Flow & Torque/Drag model • Dynamic effects

Pre-drill Your Own Well in Simulator • 6000+ participants in team training • 200+ well specific training scenarios • Managed Pressure Drilling, MPD • High Pressure - High Temperature, HPHT • Extended Reach Drilling, ERD • Deep Water Wells • Drilling and tripping operations with dynamic surge & swab • Multi fluid operations • Fingerprinting in Deep Water & HPHT wells • Well control (kick and losses) • Pressure Mud Cap • Nitrogen Mud Cap • Through Tubing Rotary Drilling, TTRD • Dual Gradient Drilling (DGD) • Coil Tubing Drilling (CTD) • Pipehandling • Standbuilding Man/Auto • Machine Control • Tripping • Stripping operations • WOB Auto-drilling • Mud handling & control • Traditional Well Control

Example: Pre-drill an MPD well • Challenges • Drilling a well with narrow margins • Adding new technology in operation • Extra crew members from MPD service company • Rig time - training • What we did • Actual well in the simulator • MPD service company MPD control system hooked up to the simulator • Procedures • Communication • Outcome • Awareness of the risks connected to the actual well • Understanding of procedures and responsibilities • Reduced the offshore training to save rig time

Real-time Decision Support using Digital Twin ANATOMY OF A PHYSICAL WELL DIGITAL TWIN OF THE WELL Diagnostics ARTIFICIAL INTELLIGENCE MACHINE LEARNING Predictive Analytics Well depth • Bit depth • Block position • ROP • Hookload • Forecasting WOB • Rotation speed • Standpipe pressure • Mud flow in • Mud density in • Mud temperature in • What-if analysis

Diagnostics (example)

Deci cisi sion on Supp pport SW – Depl ployment yment Op Options 1. Installed in RTOC; Assigned superuser, full software ownership 2. Decision support SW and live well support service 3. Decision support SW at the rig for focus on Safety and Drilling Optimization • Return on Investments: • Increased Drilling Efficiency by at least 10% • Reduced Complex situations and accidents by 30-40%

100% TRACK RECORD With 6000 users and counting, on 200+ digital twins, we are proud of no hazardous incidents and no (non- geological) sidetracks, as well as significant performance improvement.

Summary - Value proposition Better Better Drilling decision risk parameters support visibility control Avoidance of Safe Optimized NPT operation performance