Hydrocarbon E&P challenges opportunitie Information Systems

Hydrocarbon
Exploration & Production
Opportunities & Challenges in IS
Scope of Document : Insight into the Possibilities of IS.
Nature : Presentation
Security : Public
Author : G Srikanth
Date and Version : 30 October 2010 v1.0

Reliance Industries Ltd. Exploration & Production Business. India. 17-September-2008

Fall-back
1. Principles and Overview
2. Domain Information Systems
3. Challenges and Opportunities in IS


1. Principles & Overview of E&P
1. Hydrocarbons are Formation, Discovery and Production
2. Uncertainties & Risks
3. Gamut of Sciences and Technologies involved
4. Business Process Categories and Process
– Acquisition  Capture the opportunity
– Explore  Convert the opportunity to Discovery
– Appraise  Evaluate the Discovery
– Develop  Prepare to Exploit the Discovery profitably
– Deplete(Produce) Nomination to Cash on Production asset
– Abandon  Exit

The Charm of Successful E&P
Spectacular Opportunity  Extensive Diversity  Strategic
Contribution

2. Domain Information Systems of E&P
1. Business Processes and Functions/Tasks in each Process node
2. Complexity of data and analysis
3. Features of E&P IS
a. High Compute Capability
b. Diverse Application Portfolio for every function
c. High Data & Information Costs
d. Large data volumes
e. Complex Integration of wide range of data classes
f. Information Uncertainty needing multiple analysis and processes
4. Compute System Characteristics
a. Teraflop processing power needed in many areas of work
b. Very high memory capacity > 64GB needed in many applications
c. Imaging Systems – very high end graphics
5. Application Characteristics
a. Specialized with proprietary algorithms and data structures
b. Long cycle times in development of expertise {Programs & Usage}


The Charm of Successful E&P
• Extensive Diversity for Thought
• Opportunity to be thinking beyond ordinary
Challenges and Opportunity to Excel in the
Charming world of E&P IS


In Pursuit of the Charm - Outline
I. Compute Intense Applications and Opportunities
II. Graphic Intensive Applications and Opportunities
III. Data Structures and Semantic exploitation
IV. Communication Technologies and their avenues
V. Extent and Scope of opportunities


I. Compute Intense Applications
1. Programs that execute trillions of operations
– Seismic Data Processing & Interpretation
– Reservoir Simulation
– Numerical Basin Modeling
2. Opportunities in System Administration &
Optimization
3. Opportunities for innovation and development


I.1 Seismic Data


I.1 Seismic Data Processing


I.1 Seismic Data Processing Opportunity

1. New Processing methods. Example
• Stochastic Processing
• Full wave-form deconvolution
• Complex geometric corrections
• Quantum Resonance Interferometry
2. Requirements
• HPC facilities
• Numerical analysis CoE
3. Value
• Niche technology {large IP}
• Improved resolution of RIL E&P data  discovery 
Appropriate development  Efficient depletion


I.2 Reservoir Flow
http://www.stanford.edu/dept/ICME/docs/seminars/Aziz-2006-10-16.pdf

1. Flow by
fluid
movement
2. Flow by
expansion
(pressure
reduction)


I.2 Reservoir Simulation


I.2 Reservoir Simulated

Seismic AI

History
Match Sw
Oct 2000
Original

10/2/2012

I.2 Reservoir Simulation Opportunity
1. Improved algorithms and mathematics
2. Grid design
3. Scaling methods
4. Cloud computing algorithms
5. Data structure for storing model results
6. Analytical methods to compare multiple models

a. Strong mathematics in CFD
b. Use of CFD tool-kits
c. Understanding of Single and Multiphase fluid flow through
porous media
d. Multi speciality team as CoE


II. Graphic Intensive Applications

5 km


II. Graphic Intensive Applications Opportunity
1. E&P is heavily Graphic
intensive ?
– Yet, cannot see through
the objects in 3D
– Resolution, Color depth


III. Information Value Proposition in E&P

E&P

Others

Reliance Industries Ltd. Exploration & Production Business. India. Dr. Alan Nunns
17-September-2008

III. Data Structures and Semantics Space


III. E-R of Earth Model in E&P database-
Finder


III. Seismic and Well Data Models


III. Opportunities and Requirements in DM
1. Defined and
Develop the Data  ONTOLOGY
Models  There
are international
Standards
(www.energistics.org)

2. Implementations
with GIS (E.g.
PPDM)
3. Intelligent
Semantics
4. Knowledge
Management


III. Information Flow across E&P Workflows
Real Time Data
Well Plan/Construction Transmission
Direct to
Well Plan and Real Time Data: Database
Integrated
Interpretation
Updating The 3D Volume“Earth
Model”

Update Update
Well Plan Interpretation

Update
Reservoir Model
/Simulation

III. Data integration, assimilation and
interpretation
 Applications Portfolio from major vendors address specific
functional space
– Geophysics
– Geology Models & Reservoir Models
– Production
– Drilling
 Data interfaces across disciplines are mediocre
– Largely visual integration
– Import-Export data structures
 Advanced aspects like :
– Data Mining
– Pattern recognition
– Intelligent search  are yet to develop


IV. Communications & Technologies in E&P

1. Large band-with LAN (1gpbs/ws is minimal need for 3D)
 Can this be achieved on WAN/ Internet?
2. Remote & Hazardous locations  VSATs, Microwave, Radio++
3. Extreme Temperatures & Pressure
• Sensors inside oil & gas wells
• Well head (2000m below sea-level @ -30C)
4. Non-serviceable and Non-replaceable sensors  High reliability

 Cable free sensors for planting at sea-bottom
 Ultra-high-resolution measurement of Natural EM


V. Automated Detection of Thin Intra-Reservoir Denses


Standard Log Analysis – Analog Lithology Class

Special Image Logs and Derived Litho Indicat
Lithofacies From Logs

Standard Log Suite (To Do Spectral + Segm)

Reliance Industries Ltd. Exploration & Production Business. India.
with Core and used. Requires Field level tuning

 Sequence stratigraphy confined Markovian Strings? 
17-September-2008
Lithfacies from Conventional Logs using Brigg’s Triangles. Calibrated

Very high vertical resolution and classification achieved

Classification & Categorization
 Such Patterns Exist in Real
data
 The Various Structured
Parameters Can be :
– On each Trace Separately
– Based on adjacent traces
either side on 3D (1 look up=
4 traces)
– Based on Multiple adjacent
traces (2-5 lookup – How to
do?)


Simple Syntactic Pattern Recognition – Are you ready?

Can any of you
Develop a small
Program to
Extract these
Syntactic Variables?


V. Attitude, Aptitude and Abilities
 Attitude
– Learn
– Analyze
– Collaborate
 Aptitude
– Numbers and Analytical methods
– Graphics
– Development
 Abilities
– Numerical Analysis and Graphics
– Handle large data sets


E&P – Pursuit of Passion
1. Radically new methods are finding way
2. Individuals are changing the paradigm
3. If there is Excellence in You, there is a
problem in E&P for You


Hydrocarbon E&P challenges opportunitie Information Systems

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