ayasdi energy summit, september 2014, pk pande

6
The Intersection of Geosciences, Engineering, and Data Analytics Upstream Exploration & Production PK Pande 09/17/2014

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PK Pande from Anadarko outlines the analytical challenges facing the Oil & Gas industry.

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Page 1: Ayasdi Energy Summit, September 2014, PK Pande

The Intersection of Geosciences, Engineering, and Data AnalyticsUpstream Exploration & Production

PK Pande09/17/2014

Page 2: Ayasdi Energy Summit, September 2014, PK Pande

Upstream E&P High Value Activities

Exploration

Field Development

Reservoir Management / Production OptimizationConventional / Deepwater

Unconventionals

Page 3: Ayasdi Energy Summit, September 2014, PK Pande

COASTAL PLAIN

SHELFSLOPE

BASIN

• Closure• Containment• Timing,

Migration• Source

• Reservoir

Geosciences & Physics for Exploration

Page 4: Ayasdi Energy Summit, September 2014, PK Pande

Full Life Cycle Integrated Approach Shales Context & Evolution

2009 2010 2011 2012 2013 2014+

Issues

Solutions

• Well spacing

• EUR

• Field Demonstrations

• Mechanistic Modeling

• Performance Analysis

• Micro-Seismic

• Permeability Modeling

• Data Acquisition

• Drawdown Management

• Subsurface / Completions Integration

• Geomechanical Modeling

• Semi-Analytical Methods

• Integrated Asset Management

• Integrated Asset Modeling

• Well Level IPRs

+ +

• Data Analytics

• Knowledge Systems

• IOR / EOR

Page 5: Ayasdi Energy Summit, September 2014, PK Pande

Full Life Cycle Value Drivers - Shales

Scales of Measurement

Performance Analysis

Integrated Asset Management

Data Acquisition

Development Approach

- +

Ad Hoc

Type Curves, Arps, Statistical

Reservoir, Subsurface Level

Single Level

Uniform Spacing, Offset Practices

Appropriate Combinations & Timing

Advanced Analytical, Numerical, SRV Diagnostics

Field Level, Reservoir, Wells, Facilities

Multi-Domain & Scales

Geologically Targeted, Semi-Custom Spacing

Value Driver

Page 6: Ayasdi Energy Summit, September 2014, PK Pande

The Intersection of Geosciences, Engineering & Data AnalyticsChallenges, Opportunities, Observations

• Exploration – Discovering new resources– Foundation: Geosciences & physics

• Conventional Systems– Physics well understood, wealth of analogues

• Shales– Toughest development & production issues– Data analytics applications have potential to

generate value• Must tie into physics & mechanisms• Significant data generated, often “soft data”• Speed matters especially for North America