hydrocarbon e&p processes applications and computer uses

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

Hydrocarbon

Exploration & Production

Domain Information Systems

Scope of Document : Overview of E&P Technical IS.

Nature : Presentation

Security : Public

Author : G Srikanth

Date and Version : 20 October 2010 v1.0


Structure

1. Exploration & Production Paradigms

2. Business Processes

3. Technical Information Systems

– Traits of E&P Technical computation

– Usage Mechanism

4. Technical Solutions in use


Hydrocarbon Life-Cycle

Living Matter

Maturation

Accumulation Discovery

CO2

Effusion


Paradigms in Hydrocarbon Life-Cycle

1. Time

- HC life-cycle works in Geological Time

2. Space

– HC are generated, migrate and accumulate deep inside earth

3. Size

– While the Micro-organisms that created HC are tiny, the pore-spaces where it is stored are tiny – The scale of processes and accumulations are Huge.


Paradigms in Hydrocarbon Life-Cycle

1. Uniqueness of every HC pool

2. Non-repeatability of events in discovery and production

3. Beyond experimental confirmation

4. Non-linear and unknown mathematical systems

These manifest as two dimensions

UNCERTAINTY

RISK


Sciences in Petroleum Geoscience

1. Mathematics Fluid dynamics, Digital Signal Processing, Fourier analysis

2. Physics Rock physics (petrophysics), Geophysics – Seismic , Instrumentation

3. Geology Search, Discovery and Characterization

4. Geophysics Seismic, Gravity and Magnetic surveys

5. Chemistry Oil & Gas Composition, Properties, Drilling Mud chemistry, Rock chemistry

6. Computer Fractals, ANN, Fuzzy Sets, Advanced Graphics


Technology in Petroleum E&P

1. Computer Array Processors, HPC, Virtual Reality, Petabyte storage

2. Chemical Processing, Extraction, Plant design, Reservoir engineering

3. Civil Drill site preparation, plant sites, Field layout, Structural design of platforms

4. Electronics & Communication Design surveillance and monitoring equipment, Communication, Instrumentation

5. Geodetic Surveying and Positioning

6. Environment Harazad studies, Spill management, Disposal

7. Mechanical Drilling, Heavy Equipment, Plants

8. Petroleum Well-Design, Flow-Networks, Production Optimization


Petroleum E&P Business Overview

E&D is essentially Centered around managing information

– Quality

– Completeness

– Auditability

Significant value accretion

E&D is essentially obtaining “reliable” information on O&G occurrence and recoverability

Business Vision

Execution Exploration & Development

Valuation Auditing Technology

Information

$ $

~10,000CrIRS


E&P Processes


1. Acquire

1. Strategy

2. Intelligence to Locate Opportunities

– Compendium Services

3. Evaluate Opportunities

– Prospect Evaluation – Data rooms, Analysis

– Risk Analysis

4. Pursue Opportunities

– Economic Evaluation

– Bidding

– Legal & Contracts

5. Handover to Exploration

– Data Migration & Integration

E&P Asset Life Cycle

Acquire Explore Appraise Develop Deplete

Abandon

1. Tellus

2. Istore

3. IHS energy


2. Explore

1. Data Gathering

2. Prospect Maturation

3. Resource Assurance

4. Optimize and Rank Portfolio

5. Prepare for Drilling

6. Post-Well Analysis

7. Handover to Appraisal



Abandon


2.1a Explore – Data Gathering



Abandon


2.1b Explore – Data Processing

E&P

1. Design – Forward Model

2. Simulation – CFD, DSP, MLM, Stochastic, Dynamic

3. Screening – Visual, Heuristic

4. Presentation – Maps, 3D

5. Evaluation – Intuitive

Largely Numerical

Record-level interdependency

One or Many Programs – Each with Many Algorithms Few Users

Data processing is discrete

Engineering

1. Design – AutoCad

2. Simulation – FEM, CFD

3. Screening – LP, NLP

4. Presentation – Autocad, 3D

5. Evaluation – Formal

Business DP

1. Largely Transactional

2. Records are Independent

3. One Program – Algorithm Multiple Users/Usage

4. ERP – Integrates data widely


2.2 Exploration – Prospect Maturation



Abandon 1. Basin Analysis

– BasinMOD

2. Play Analysis

– Regional GM

– Sequence Strat

– Seismic

3. Prospect Ident.

– Seismic F/I models

– Visual assimilation

4. Ranking & Optimization

5. Resource Assurance

6. Prepare for Drilling

– Pore-Pressure

– Well Design & Plan


3. Appraisal



Abandon

1. Appraisal Plan

2. Data Gathering

3. Develop Asset Model

4. Scenarios

5. Drill & Validate

6. Evaluate Economic Viability

7. Optimization

8. Conceptual Development Plan

9. Hand-over to Development


3.3 Appraisal – Develop Asset Model & Scenarios



Abandon

1. Development Plan

– Design

– EPC

2. Well Completion Engineering

– Drill & Complete wells

3. Reservoir Capacity & Production Plan

– Testing

– Production Profiles

– Production Scenarios

4. Startup

5. Ramp-up

6. Steady-State Depletion


3.3 Appraisal – Develop Asset Model & Scenarios



Abandon 1. Subsurface Deplete Guidance

– Allocation

– Reservoir Management

– Characterization

– Feed-back Planning

2. Production Management

– Production Opt

– O&M

– Production accounting

3. HC storage & transportation

4. HC accounting

– Nomination –to- Cash

5. Demand Management

– Forecasting


E&P Asset Life cycle – IS features

1. Data Acquisition {Plan, Execute, Collect}

2. Data Processing {Basic, Advanced}

3. Data Interpretation {Numerical, Graphic, Visual}

4. Data Enhancement {Single/Multi variable models}

5. Data Consolidation

6. Data Management

7. Results Management



Abandon


Typical Data Processing objectives


Application Inventory – Seismic & Petrophysics

1. MESA 7

2. ProMAGIC® Server 9

3. Promagic Viz 12

4. Promax 3D 13

5. Promax VSP 16

6. Geocluster 18

7. Geovista 20

8. Stratavista 21

9. Nucleus & Norsar 22

Petrophysics 116

53. Geolog 116

54. GeoFrame/Elan + 118

55. PetroWorks 120


Application Inventory – Reservoir Engg.

64. Eclipse 100 (incl.Pseudo, VFP, GRAF) 137

65. Eclipse Schedule 139

66. Floviz / RT View 140

67. Eclipse Office 141

68. Eclipse Local Grid Refinement 142

69. Eclipse Gas Lift Optimisation 143

70. Eclipse Flux Boundary 144

71. Eclipse Gas Field Operations 145

72. Eclipse Coal Bed Methane 146

73. Eclipse Multi-Segmented Wells 147

74. Eclipse Flogrid 148

75. Eclipse Reservoir Coupling 150

76. Eclipse Networks 151

77. Eclipse SimOpt 152


E&P Asset Life cycle – IS features

1. High Compute Capability

2. Diverse Application Portfolio for every function

3. High Data & Information Costs

4. Large data volumes

5. Complex Integration of wide range of data classes

6. Information Uncertainty needing multiple analysis and processes

7. World-wide operations and standard service requirements

8. Remote and hazardous work areas

9. Auditors, Certifiers, Collaborators and Regulators

10. High business Impact

IT Components in E&P technical areas are unique to the business


Acquire Explore Develop Produce Abandon


E&P – Compute Capability Characteristics

Systems

1. Teraflop processing power needed in many areas of work

2. Very high memory capacity > 64GB needed in many applications

3. Imaging Systems – very high end graphics

4. Huge Data sizes

Applications

1. Specialized and very proprietary

2. Bought-in – Seldom developed

3. Multiplicity of Applications for same/similar functionality

4. Proprietary data structures and models

5. Long cycle times for expertise


PDB

Technical Data flow

Project

Studies are carried out in Project DataBases. These are organised by block and interpretation

CDB

Manual input Master data

Externally Prepared

data

Corporate data

A Corporate DataBase is the repository of all approved technical data

Production Data

Data groups include: • Seismic • Geology • Petrophysics • Reservoir • Production • Drilling • Culture • Assets • Documents

Tape Library-2 Pbytes

Seismic Apps Geological

Apps Petrophys.

Apps Reservoir

Apps

Drilling data Seismic data

Technical applications

Inte

gra

ted D

ata

Business

Management

Approved

Data sets

Standard

Data sets

http://pangea.stanford.edu/~sklemp/bering_chukchi/images/seismic.ship.gif


E&P - Information Characteristics

1. High Information Costs

2. Complex data models – Structure and Semantics

3. Analytical complexity

4. Information Uncertainty

5. Large Risk


Is Time an Illusion? The concepts of time and change may emerge from a universe that, at root, is utterly static By Craig Callender June, 2010 {Scientific American}

Time is an especially hot topic right now in physics. The search for a unified theory is forcing physicists to reexamine very basic assumptions, and few things are more basic than time.

Some physicists argue that there is no such thing as time. Others think time ought to be promoted rather than demoted. In between these two positions is the fascinating idea that time exists but is not fundamental. A static world somehow gives rise to the time we perceive.

Philosophers have debated such ideas since before the time of Socrates, but physicists are now making them concrete. According to one, time may arise from the way that the universe is partitioned; what we perceive as time reflects the relations among its pieces

http://www.scientificamerican.com/sciammag/?contents=2010-06

http://www.scientificamerican.com/author.cfm?id=2397

http://www.scientificamerican.com/author.cfm?id=2397


The Charm of Successful E&P

• Extensive Diversity for Thought

• Opportunity to be thinking beyond ordinary

hydrocarbon e&p processes applications and computer uses

Documents

business processes3

discrete reliance industries

appraisal reliance industries

usereliance industries

design planreliance

hydrocarbon lifecycle1

plant design

design autocad