Data Management Project 2012

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Integration of Drilling Data Jess Kozman – EPAIM SEA Mgr - Oct 2012

Designed Platform Management Platform

ArcGIS

Google Earth

SharePoint

Standard Data Platform

ArcSDE GIS

SeisQuest Seismic

NuaraDB

SharePoint

Well

Documents/Media

User Reference Platform

Kingdom Master

Petrel Reference

Subsurface

Reservoir

Avocet

Wellview/EDM

Production

Drilling

User Working Platform

IP

OFM

Kingdom projects GOT

Petrel projects

Onshore

Jasmine

• Jasmine user 1 • Jasmine User 2 • Jasmine User 3

L21

Manora

• Manora user1 • Manora user 2 • Manora user 3

GOT North

Jasmine Ratree

L50

Nong Yao

• Nong Yao user 1 • Nong Yao user 2 • Nong Yao user 3

Wassana

• Wassana user 1 • Wassana user 2 • Wassana user 3

GOT South G6

Interpretation

EDT

L52-L53

Modeling

Petrel RE

IPM

Eclipse

Kappa

Simulation

Analysis

2

Data Delivery

     

Traditionally G&G centric SharePoint Map based Links to drilling documents Some use of SharePoint & Network Drives Three levels of target users: petrotechnical, geo-assistant, management Desktop tools for ease of use

3

Integration of Drilling Data

4

Energistics Data Streams:

WITSML stimJob Object

Capability Maturity Model PROMT Facets with Weighting from CDA Study

Dimension I – Capability Maturity PROMT Facets with Weighting from CDA Study

Subsurface

Reporting

General Contextual

Reporting

Subsurface

General

Contextual General Reporting

Subsurface

Contextual

General

Contextual

Reporting Subsurface

General

Reporting Contextual

Subsurface

Capability Facets

Perception of the contribution of each element of the capability maturity level to understanding of the subsurface

Dimension I – Capability Maturity PROMT Facets with Weighting from CDA Study

Weighted Average General

Reporting Subsurface

Contextual

Matrix Placement by Data Stream Business Intelligence Management Maturity Matrix Model (BIM4)

Complexity Level

V Critical

IV Comprehensive

III Sustainable

II Incremental

I Minimal

0 Obstructive

I Base General

II III IV AwareReporting Reactive Contextual Proactive Subsurface

Maturity Level

V Optimised

Dimension II – Data Complexity Facets with Weighting from Peer Study Complexity Level V Critical

Propagation

Pervasiveness

Proliferation

Persistence

Vol x Version / Time

Vol x Users x SIPOC Steps

Vol x Version

Access Time x Vol

1100

0

0

25

Subsurface IV Comprehensive

900

Contextual

20

Subsurface III Sustaining

II Incremental

I Minimal

700

Reporting

Reporting

Contextual Contextual General

Subsurface 40

20

20

Subsurface 40

15

Reporting

General 500

60

Contextual

60

10

Reporting 300

80

5

80

100

0

100

General

100

General

Dimension II – Data Complexity Facets with Weighting from Peer Study Complexity Level V Critical

Propagation

Pervasiveness

Proliferation

Persistence

Vol x Version / Time

Vol x Users x SIPOC Steps

Vol x Version

Access Time x Vol

1100

0

25

0

20

20

20

40

15

40

500

60

10

60

300

80

5

80

100

100

0

100

Subsurface 900 Reporting IV Comprehensiv e Contextual 700 III Weighted Sustaining Average General II Incremental I Minimal

Matrix Placement by Data Stream Business Intelligence Management Maturity Matrix Model (BIM4) V Critical

IV Comprehensive

Subsurface Reporting III Sustainable

Contextual II Incremental

General I Minimal

0 Obstructive

I Base General

II III IV AwareReporting Reactive Contextual Proactive Subsurface

Maturity Level

V Optimised

Matrix Placement by Data Stream Business Intelligence Management Maturity Matrix Model (BIM4) V Critical

IV Comprehensive Subsurface Reporting

III Sustainable Contextual

II Incremental General

I Minimal

0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Matrix Movement by Data Stream Business Intelligence Management Maturity Matrix Model (BIM4) V Critical

IV Comprehensive Subsurface Reporting

III Sustainable

Key finding: The complexity of drilling data has increased in the last 2 years without a corresponding increase in data management capability maturity Contextual

II Incremental General

I Minimal

0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Matrix by Drilling Type HTHP Deepwater Carbonate HTHP V Critical IV Comprehensive III Sustainable II Incremental I Minimal 0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Matrix by Drilling Type HTHP Deepwater Onshore V Critical IV Comprehensive III Sustainable II Incremental I Minimal 0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Matrix by Drilling Type HTHP Offshore

V Critical

IV Comprehensive III Sustainable II Incremental I Minimal 0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Matrix by Drilling Type Horizontal V Critical IV Comprehensive III Sustainable

II Incremental I Minimal 0 Obstructive

I Base

II Aware

III Reactive

IV Proactive

V Optimised

Drilling Information in the Decision Process

Best Production

Drilling Business Intelligence EXAMPLE: Optimum sustained production occurs in wellbores between 63 and 87 degrees azimuth, in a zone of 82% or more of maximum curvature from seismic attributes, with perforations spaced at .65m over a zone of 24m or less, in the lower 15m of the shale, within .5km of a local fault of more than 20m throw, with the wellbore inclined upward at between 20 to 47 degrees relative to local dip.