1. Improving Drilling Performance using innovative ways to analyze the downhole information
Hani Ibrahim

2. FAQ What’s in it for me? TMD? What’s the impact on the crew?
TMD: too much data

3. Transformation Concept
Data Collected
RT Analysis
Information
Drilling Performance
Data collection with accuracy
RT analysis/ results
Convert Data to actionable Information that the driller can use without having to interpret squiggly lines and Drilling performance improve

4. History Quantico Energy Solutions formed in 2012
Philosophy; the logging data and the drilling data are two sides of the same coin
Developed AI model generating formation-evaluation logs from the drilling recorder data with GR
Started as replacement for conventional conveyed logs in horizontal section
Evolved to full suite of formation evaluation and drilling optimization
Well data from most major US Tight Gas / Unconventional Basins, Gulf of Mexico and some international

5. Differentiated Approach
AI constrained by geoscience and tool physics
Powerful QC engine for drilling, log and seismic datasets
Proprietary database across multiple geologic environments
ADVANTAGES
Grounded by Geoscience & Industry Workflows yielding higher accuracy
Standardized, cross-discipline workflows
Auditable output
Turnkey AI platform

6. Digital Rock Workflow
Traditional industry methods rely on well location, logs, core, facies, seismic, etc.
AI focuses on dynamic range of input parameters – and the underlying patterns contained in those envelopes
Complexity of subsurface means geoscience and AI approach need to be integrated into cohesive, digital solution
Quantico has implemented powerful workflows related to Digital Rock

7. Geoscience-Based Artificial Intelligence
DRILLING
MEASUREMENT
RESERVOIR
COMPLETIONS
QDrill™
QLog™
QRes™
QFrac™
Real-Time UCS
Post-Drill Logs
Hi-Res Earth Model
Horizontal Logs
Optimize Drilling
Logging While Drilling
Production Model
Geomechanics
Real-Time Tops
Lookbacks
Well Placement
Completion Placement
Savings
Improvement
20%
70%
50%
10%
The Savings and improvements are our targets

8. Qualification/ Accuracy
US Land horizontal well log comparison
Schlumberger Thrubit vs QLog
Deepwater depth-time comparison between LWD sonic vs QLog
(30,000ft TVD)
Red is Qlog
Blue is Conventional LWD

9. RT-UCS Pre-drill While-drilling Advantages:
Estimation of ROP, UCS and MSE
While-drilling
RT-UCS and MSE with optimized operating parameters
Advantages:
MSE, RT-UCS and formation tops provided for current well
Distinguish between efficient drilling versus drilling dysfunction once formation properties are taken into account
Drilling parameters (WOB, RPM, etc.) can be better optimized for current well

10. RT Drilling Optimization
Feature set:
Advanced LWD: sonic, density, neutron, UCS
Drilling parameter recommendations to increase ROP and reduce bit wear
Real-time updated formation tops
Delivery architecture:
Phase 1: web service deployment via Microsoft Cloud
Phase 2: software/ chip on the rig

11. Look underneath Vs. Look ahead

12. RT Formation Top Update
Automated Gamma ties with offset wells
Can add Density to interpretation
Formation top updates while drilling

13. Projected Properties Ahead of the bit
Projecting Gamma and rock properties ahead of bit
Advise the correction plan and parameters needed to return to planned well-path including the formation yield to build or drop
Top1
Top2
Top3
Top4
TVD
Offset Distance from Wellhead
Planned
Actual
New formation tops predictions dashed
RT-UCS, 5K psi, Competent formation for directional work
RT-UCS, 30K psi, difficult formation for directional work
Avoid Sliding here, Rotate for best ROP
Slide to drop here to go back on plan
Additional sliding can be achieved in this formation

14. QDrill-Enhanced Geosteering
Multiple tie logs to provide added control (using LWD density/sonic from QDrill)
Formation tops updated ahead of the bit
Automated, continuous real-time updates to geologist/DD
Ability to integrate with third party geosteering software
Offset
Target
Used in combination with QRes, well control can utilize any combination of Gamma, Resistivity, Density, Sonic, YM, PR, Stress, etc.

15. QRes™: Optimum Well Placement
Higher Resolution Revealing Significant Zones, QRes™ can map the 3D volume for various properties including Gamma, Resistivity, Young’s, Poisson’s, Stress, Pore Pressure, Porosity, etc.
Map the 3D volume for various properties including Gamma, Resistivity, YM, PR, Stress, Pore Pressure, Porosity, etc
High resolution (10 ft)
Seismic volume tied explicitly to well logs
Well control based on conventional logs or QLogs on every well drilled

16. Control Advise Monitor Drilling Automation, courtesy DSATS 16
Direct Delivery to Control Panel
Display at other locations
Driller’s Console/ Rig
Company Foreman
RTOC/Office
Several Locations
Call/ SMS DD or Driller
Drilling Automation, courtesy DSATS
courtesy DSATS 16

17. QOpt Levels

18. Summary Leading AI platform for Digital Subsurface
Delivering an AI solution with the following advantages:
Commercially proven
Turnkey – large data library, 24x7 monitoring, integrated rig operations
Scalable – works across basins/assets, cost neutral to size of reservoir volume
Synergies across internal disciplines
Measureable Cost Savings in 1-6 month time frame
potential savings 20-50%+

19. Thank You