Technical Program
Geological Context – The Missing Element in The Interpretation Domain
Development of Geofizyka Torun’s Innovations in Seismic Data Processing Using SeisSpace® Software
Velocities Are Geology – Interpretation-Based Velocity Analysis
Reservoir Characterization Improvement Through Integrated Approach to Capillary Pressure Curves Handling. Case Field: Llanos Orientales, Colombia
Global Patterns in the Geographic and Stratigraphic Distribution of Hydrocarbons
Landmark Earth® Engineered Appliance – On-Premise Private Cloud Platform for Geoscience Application Delivery
Seismic Multi-Attribute Realistic Co-Visualization Techniques – Multidimensional Analysis and Delineation of Complex Structure Tools
AVO Overview and Seismic Screening for a Quick Sweet Spot Evaluation – An Interpreter’s Perspective
Generating Complex Fault in a Strike-Slip Area and Its Impact On Prospect Evaluation, Kutei Basin, Indonesia
Integrated Geosciences Analysis In Mature Field to Improve Reservoir Management and Production
Well Engineering on the GO – Realtime
Well Design Concepts Accelerated with the Power Engine from Aker BP: Digital Well Program™
Drilling Software Evaluation and Directional Survey Simulation Project to Determine Accurate Survey Tool Code
A total of 2,426 wellbores has been entered in the EDM database, comprising 1,897 onshore wellbores and 529 offshore wellbores. In addition, a Survey Tool Code Bridging study (ISCWA and OWSG standards) between the T-DESK and COMPASS systems has been conducted and documented.
RTOC Transformation with iEnergy® Tenant, Using SmartDigital™ Co-innovation Service
EDM™ Insights – Improving User Proficiency and Performance in Real Time
Living on the Edge – Digital Challenges for Extreme Environments
The Performinator Project – A Rig Upgrade with Robotic Pipe Handling, Open Source, Autonomous Operations, Edge, Simulators, and Digital Twins
Well-Architecture-Driven Transverse Shear Stresses – Engineering Challenges in Horizontal Extended-Reach Wells
Applying DecisionSpace® Gun Barrel View for Easy Visualization and Interpretation of Complex Unconventional Well Planning Scenarios
Cuttings Image Classification in Real Time, Using Machine Learning Applications
Empowering Data-Driven Upstream on Azure
A 4D Small Data Solution in a Deepwater Gulf of Mexico Seismic-Driven History Matching Workflow
History Matching of Multiple Wells with Actual Downhole ICD Configuration in a Five-Spot Pattern Reservoir Development
Handling of Static and Dynamic Uncertainty in a Coupled Reservoir-Surface Model for the First Deepwater Field Development in Mexico
Multiple-Cloud, Multidisciplinary Workflows are Possible with Standards-Based Dataset Transfer Packaging
Rethinking Earth and Reservoir Modeling: Is the Path Forward White, Black, or Gray?
Managing Large Amounts of Capillary Pressure Data, Using DecisionSpace® Petrophysics Software to Generate a Comprehensive Saturation Height Model
Revitalization of Oil Production in Nezzazat Reservoir, Using Low-Cost Water Dump-Flood in Offshore Environment: Case Study from Gulf of Suez Petroleum
DecisionSpace® 365 Full-Scale Reservoir Simulation
Field Gas Lift Distributed Optimization with Automated Control for Holonic Systems
Large-Scale Subsurface and Surface Integrated Asset Modeling – Lessons Learned
Simplified Physics-Based Reservoir Models for Country-Wide Integrated Capacity Planning
Initiate Digital Oilfield Application at Mature Offshore Oil Field in South East Sumatera, Indonesia
Reaching Asset Potential – A Multiple Time Horizon Optimization Problem
Production Surveillance Digital Solution for Supporting a Mature Field Redeveloping Business Model in Eastern Ecuador Basins: IGAPO Consortium Case
Reducing the Time to Completion and Increasing Production, Utilizing Oracle Information Management Technologies
A Collaborative Solution for Integrated Water Management and Quality Surveillance in Production and Injection Operations – Ecopetrol Case
Intelligent Water-Alternating-Gas Process Using Downhole Control Valve (WAG-CV): Concepts, Tools and Simulations
Reservoir Simulators Performance Evaluation in the Gulf of Mexico
Hybrid Metamorphosis: New Data, Science, and Capabilities in Existing Systems Blur Technology Lines Between Fossils, Renewables, Cloud, and the Edge
The Cloud Experience at Eni, Using Geoscience Workflows
Petrobras Implements Web Applications to Meet Regulatory Changes in Well Integrity
Holistic Data Management Strategy for Large NOC’s
How Gyrodata’s Guide Center Has Increased Efficiency, Productivity, and Deliverables for Well Engineering Services
Fueling Digital Innovation with AWS Cloud-Native Services
Agile Database Approach to Non-Operated Assets
Digital Solution for Drilling and Well Services – An Example of How to Take Advantage of Your Data
BHP’s Next Generation Work Station Ready (WSR) Well Logs
Best Practices in Drilling Data Quality Management and Automation
Nature (Sometimes) Knows Best
Artificial Intelligence (AI) or Intelligence Augmentation (IA)? How to Produce Not Only Better Engineering Designs, But Also Better Designers
Enabling Creativity and Agility in the Workplace
Robots as a Service: See How Automated Drones Can Monitor Operations in Real Time
Counting Alligators and Catching Crooks: Stories from a Life Misspent in the Swamp of Data
How Accenture ‘Wise Pivoted’ to the Future
The oil and gas industry has survived the largest downturn in history and faces an uncertain future going forward. There are lessons from other industries and companies that can provide a roadmap for energy companies as they plan for the future. Accenture faced a series of existential threats in the first decade of the millennium. We live in an age that demands companies stay in a permanent state of change. The digital age calls for a new approach to organizational change that enables companies to make a wise pivot successfully. This approach requires companies to:
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- TRANSFORM THE CORE BUSINESS … to drive up investment capacity
- GROW THE CORE BUSINESS … to sustain the fuel for growth
- SCALE NEW BUSINESS … to identify and scale new growth areas at pace
This session will focus on Accenture’s “wise pivot” transformation, some of the key initiatives and imperatives to support the transformation, and what others can learn from our own experience.
SmartSuit for Extravehicular Activity: Current Challenges and Spacesuit Technology Development to Enable Future Planetary Exploration Missions
Automated Artificial Intelligence – The Next Era of Data Science
From the Edge to the Cloud – A Single Data Platform
Insights Into Hydraulic Fracture Geometries, Using Fracture Modeling Honoring Field Data Measurements and Post-Fracture Production
The Modern Geophysicist: Adding Value and Influencing Business Decisions
Reducing Uncertainty in Unconventional Reservoir Characterization
Unconventional Drilling in the New Mexico Delaware Basin
Applying DecisionSpace® Gun Barrel View for Easy Visualization and Interpretation of Complex Unconventional Well Planning Scenarios
Elastic Mechanical Properties from SEM and X-ray CT Imaging in Tight Formations
Integrating a Drilling Events Database, DecisionSpace® Geosciences Software, and Seismic Imaging to Predict Subsurface Drilling Events
Getting the Most Out of Your COMPASS™ Software
Pore Pressure Estimation from Velocity Model in Tight-Gas Sandstones in Argentina’s Neuquén Basin
Automated Unconventional Production Forecasting Based on SPEE Monograph 4 Guidelines
Misguided Approaches to Artificial Intelligence and Machine Learning Result in Suboptimal Value
Rapid Basin-Scale Geologic Reconnaissance Using Unsupervised Learning
ESP Failure Prediction
Smarter Well Engineering Concepts Aid in Reducing Planning Time and Increasing ROP
Benchmarking – Clustering Wells in the Construction of Offshore Wells
Building Human Superpowers With Machine Intelligence & Software UX
A Multidisciplinary Approach for Dynamic Rock Typing Characterization Using Artificial Neural Network Methods in Hamra Quartzites Reservoir
Water Coning From Simulation to Neural Network – Comprehensive Study of Coning Prediction and Factors Affecting It
Digital FPSO – Water Injection System Digital Twin Using Machine Learning
Improving Machine Learning Workflow and Business Value for Oil and Gas Applications
An Introduction to the OpenEarth® Community and its Offerings
Learn Application Development to Consumption (Production Deployment) in 30 minutes
Geosciences – Easy Steps to Seismic Attribute Calculations Using OEC
Learn How Integration Server is Making Life Easy to Consume E&P Data (Includes Python Hands-on)
Building Web Applications Using Web Framework Available in OEC And Building Workflow Orchestration Using DecisionSpace® Business Process Management Engine available in OEC
Using Digital Well Program™ Solution to Customize the Well Design Process
DecisionSpace® 365 Enterprise Services Software – Modern Approach for Service Lifecycle
OpenEarth® Community – Enabling Development via DevOps and Collaboration
Integrated Development Platform for E&P
Assisted Lithology Interpretation – Turning A Machine Learning Scientific Algorithm into Product Using OEC and DSIS
DecisionSpace® 365 Seismic Engine Software – How to Build A Highly Scalable Seismic Processing Application
A Collaborative Analysis Solution for Integrated Data from Drilling Operations, Daily Reports, and Real Time
Creating Scalable Data Science Applications in OEC
Design Thinking for E&P Software Innovation
How OEC Can Help With Project Management and Development
Delivering Innovation at Scale – Getting Ideas to Value in the Oil and Gas Space
Optimized Production Solutions – DevOps Practices
Agile Data Science with Red Hat OpenShift Container Platform
New Science and Innovation Breakthroughs in IoT Prognostics
Building Open Platforms in the Kubernetes Renaissance
AI-Powered Geosteering-Based Drilling Optimization with Reinforcement Learning
Field Gas Lift Distributed Optimization with Automated Control for Holonic Systems
Intelligent Predictive Maintenance as a Service (IPMaaS)
ASTRA – Rapid Digital Transformation of Legacy to Cloud-Native Applications
Senior Software Developer, Lumina
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- Introduction
- Introduction to the Data Science Life Cycle, Machine Learning Methods (Supervised and Unsupervised Learning), and Optimization in the Oil and Gas Industry
- Supervised Regression: ROP Prediction (Linear, ANN)
- Supervised Classification: Rig State Prediction (Logistic Regression, Decision Trees)
- Unsupervised: Rock Facies Clustering (K-means)
- Optimization: Bayesian Optimization in Drilling
- Survey
Agenda contents and schedule subject to change.