ANNUAL MEETING MASTER OF PETROLEUM ENGINEERING

03/05/2016 Instituto Superior Técnico

Integration of uncertain well data for seismic reservoir

characterization

1

Pedro Miguel Martins Pereira

PhD Candidate

Supervisors:

Professor Leonardo Azevedo

Professor Amílcar Soares

Summary

• Motivation

• Methodology

• Real Case Application

• Conclusions

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Motivation

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Methodology

Stochastic sequential simulation with point distributions

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Real Case Application

Case Study Dataset

• Simulation grid size: 840x567x49;

• 6 available wells with Ip logs;

• Post-stack seismic reflection data (fullstack).

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(Global Stochastic Inversion Tests)

TEST 1

GSI without pointdistributions

TEST 2

Bayesian inversion (lowvariability)

TEST 3

Uniform distributions

TEST 4

Bayesian inversion (highvariability)

Real Case Application

GSI with point

distributions

Multidimensional

scaling

TEST 1

GSI without pointdistributions

TEST 2

Bayesian inversion (lowvariability)

TEST 3

Uniform distributions

TEST 4

Bayesian inversion (highvariability)

Tests with hard-data Tests without hard-data

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Well 4

(GSI Tests with HD)

Results display scale: (6000-18000 kPa.s/m)

Test 1 Test 2 Test 3 Test 4 Caliper Ip HD

Real Case Application

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Well 4

(GSI Tests with HD)

Real Case Application

MDS Space

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Well 4

(GSI Tests without HD)

Results display scale: (6000-18000 kPa.s/m)

Real Case Application

Test 1 Test 2 Test 3 Test 4

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Well 4

(GSI Tests without HD)

Real Case Application

MDS Space

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Well 5

(GSI Tests with HD)

Results display scale: (6000-18000 kPa.s/m)

Test 1 Test 2 Test 3 Test 4 Caliper Ip HD

Real Case Application

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Well 5

(GSI Tests with HD)

Real Case Application

MDS Space

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Well 5

(GSI Tests without HD)

Results display scale: (6000-18000 kPa.s/m)

Real Case Application

Test 1 Test 2 Test 3 Test 4

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Real Case Application

Well 5

(GSI Tests without HD)

MDS Space

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(GSI Tests with HD)

Real Case Application

All Wells (6) MDS Space

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Real Case Application

(GSI Tests without HD)

All Wells (6) MDS Space

Conclusions

• The stochastic sequential simulation with point distributions:

– allows the integration of uncertain experimental data and the estimation of the petro-elastic

properties measured along the well path;

– offers a better alternative for accounting for the collapsed sections uncertainty compared to

removing those sections;

– provides a framework to add information at the problematic zones and a better guide of the

inversion procedure near the wells.

• The inclusion of uncertainty on the experimental data increases considerably the

exploration of the model parameters space, reducing the uncertainty of the

properties at the well-logs.

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Thanks for your attention

QUESTIONS?

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