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PERMEABILITY PREDICTIONS , PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

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Page 1: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

PERMEABILITY PREDICTIONS , PETROPHYSICAL GROUPING & RRT ASSAIGNMENT

Habeeba Al Housani

Hani Al-Sahan

ADCO, Bab TeamFeb 2010

Page 2: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

2

Presentation Outline

• Why we need predictions for non cored wells?

• Work steps

• Results

• Key Learning

Page 3: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

3

Why we need Predictions for non

cored wells?

• Limited core data coverage• Better data extrapolation• Full use of log data

Page 4: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

4

Flow Charts predictions for Non cored wells

NN- Kfor Non

cored wells

Using SOM-software

PG for NonCored Wells

PG from Cored wells

OH logsSW,PHIE,

RHOB

Geological data

Using NN-software

NN- Kfor Non

cored wells

Phase 3 Static Model

NN- Kfor Non

cored wells

RRT for NonCored Wells

Using SOM-software

RRT from Cored Wells

PG for NonCored Wells

PHIEK PG

PHIE

RRT

Page 5: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

5

NN- Kfor Non

cored wells

Using SOM-software

PG for NonCored Wells

PG from Cored wells

OH logsSW,PHIE,

RHOB

Geological data

Using NN-software

NN- Kfor Non

cored wells

Phase 3 Static Model

NN- Kfor Non

cored wells

RRT for NonCored Wells

Using SOM-software

RRT from Cored Wells

PG for NonCored Wells

PHIEK PG

PHIE

RRT

Step(1)

Permeability Predictions

Page 6: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

6

Data Clusteringcluster 1

1

11

21

31

41

51

61

71

81

91

core noncored

nu

mb

er o

f w

ells

cluster 2

1

11

21

core noncored

nu

mb

er

of

well

s

BAB Field

550

463

523

369

297317

435208195

196210

212

280272270

260285

277

343

365127

520

76

332

561

323581

600339

598

557

330

340559

337

525

584

341

333306

459221

451

204

583331

326

301

223284257

225612440

611

509

507

505

378

371

361

359

354

349

321314

313

310309

307

305 304

303

298

296

293291

198

197

194

193

128

70

436

16

502274

258

7

137

99

66

3

8

459

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000 780,000 785,000 790,000 795,000

BAB Field

475

425

328329311

320

542

334

560

392

386

377 302300

31

2999

151

322

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000 780,000 785,000 790,000 795,000

Cored 12 Non cored 82

Cored 3 Non cored 15

Page 7: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

7

BAB Field

123

144

176

217

174

130

436459

456

111

136

94

95

9

66258

137

259

7 274

133

124

68

96

97

254

255228

93

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000780,000 785,000 790,000795,000

BAB Field

123

144

176

217

174

130

436459

456

111

136

94

95

9

66258

137

259

7 274

133

124

68

96

97

254

255228

93

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000780,000 785,000 790,000795,000

Training Results

-3

-2

-1

0

1

2

3

4

8630 8640 8650 8660 8670 8680 8690 8700 8710 8720

Lo

g K

Lo

g K

Lo

g K

-3

-2

-1

0

1

2

3

4

5

8520 8540 8560 8580 8600 8620 8640 8660 8680

-3

-2

-1

0

1

2

3

4

9020 9040 9060 9080 9100 9120 9140 9160 9180 9200

logK

NNet logK1

Lo

g K

-3

-2

-1

0

1

2

3

4

5

8660 8680 8700 8720 8740 8760 8780 8800 8820 8840

BB -147

-3

-2

-1

0

1

2

3

4

5

8660 8680 8700 8720 8740 8760 8780 8800 8820 8840

-3

-2

-1

0

1

2

3

4

5

8950 8960 8970 8980 8990 9000 9010 9020 9030

BB -456 -1D

-3

-2

-1

0

1

2

3

4

5

8950 8960 8970 8980 8990 9000 9010 9020 9030

Page 8: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

8

Blind Test Results

BAB Field

8

99

131

141

151

11

101

104

121

136

343

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000 780,000 785,000 790,000 795,000

logkactual and logKNN

-3

-2

-1

0

1

2

3

4

5

8400 8420 8440 8460 8480 8500 8520 8540 8560 8580

MD(ft)

log

K

LOGCKH-NNlogK-actual

logkactual and logKNN

-3

-2

-1

0

1

2

3

4

5

8400 8420 8440 8460 8480 8500 8520 8540 8560 8580

MD(ft)

log

K

LOGCKH-NNlogK-actual

logkactual and logKNN

-3

-2

-1

0

1

2

3

4

5

8500 8510 8520 8530 8540 8550 8560 8570 8580 8590 8600 8610

MD(ft)

log

K

LOGCKH-NNlogK-actual

logkactual and logKNN

-3

-2

-1

0

1

2

3

4

5

8500 8510 8520 8530 8540 8550 8560 8570 8580 8590 8600 8610

MD(ft)

log

K

logkactual and logKNN

-3

-2

-1

0

1

2

3

4

5

8500 8510 8520 8530 8540 8550 8560 8570 8580 8590 8600 8610

MD(ft)

log

K

LOGCKH-NNlogK-actual

-3

-2

-1

0

1

2

3

4

9020 9040 9060 9080 9100 9120 9140 9160 9180 9200

-3

-2

-1

0

1

2

3

4

8780 8800 8820 8840 8860 8880 8900 8920 8940 8960

good fair poor

-3

-2

-1

0

1

2

3

4

9020 9040 9060 9080 9100 9120 9140 9160 9180 9200

logK

NNet logK1

Page 9: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

9

Estimated Permeability validation

( Non cored wells)

Compare the Estimated K with 1. MDT mobility data2. Twin wells core data

Page 10: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

10

Comparison between MDT/RFT Mobility and core “K” in 3 Cored

Wells

Locations of Bab Wells

Bb 502

Bb 438

Bb 472

OWC

Page 11: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

11

Comparison between MDT/RFT Mobility data and Predicted K in 3

Non cored wells

Locations of Bab Wells

Bb 470

Bb 375

Bb 543

OWC

Page 12: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

12

Comparison between MDT/RFT Mobility data and Predicted K in 3

Non cored wells

Locations of Bab Wells

Bb 372

Bb 378

Bb 393

OWC

Page 13: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

13

Estimated K in non-cored wells compared to core K in a nearby well are in the same range

LogKNN

-3

-2

-1

0

1

2

3

4

5

8720 8740 8760 8780 8800 8820 8840 8860 8880 8900

-3

-2

-1

0

1

2

3

4

5

8700 8720 8740 8760 8780 8800 8820 8840

Locations of Bab Wells

Bb 187

Bb 211

OWC

-3

-2

-1

0

1

2

3

4

9020 9040 9060 9080 9100 9120 9140 9160 9180 9200

logK

NNet logK1

Comparison between Core K in none cored well & Predicted K in Twin

Cored Well

Non Cored

Cored

Page 14: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

14

Estimated K in non cored wells compared to core K in a nearby well are in the same range- except High perm streak

BAB Field

108255

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000 780,000 785,000 790,000 795,000

-3

-2

-1

0

1

2

3

4

5

8280 8300 8320 8340 8360 8380 8400 8420 8440 8460

Lo

g K

Lo

g K

-3

-2

-1

0

1

2

3

4

9020 9040 9060 9080 9100 9120 9140 9160 9180 9200

logK

NNet logK1

NNet logK

LogKNN

-3

-2

-1

0

1

2

3

4

5

8560 8580 8600 8620 8640 8660 8680 8700 8720 8740 8760

High Perm STK

Comparison between Core K in none cored well & Predicted K in Twin

Cored Well

Non Cored

Cored

Page 15: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

15

PG’s Assignment

For

Cored wells

Page 16: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

16

Porosity

Self Organizing Map SOM

5 parameters used as input in IPSOM:

Permeability Hyp-tangent Inflexion pointSlop

Page 17: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

17

PG /MICP cap curves per PG’s

4

3

2

1

6

5

Page 18: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

18

NN- Kfor Non

cored wells

Using SOM-software

PG for NonCored Wells

PG from Cored wells

OH logsSW,PHIE,

RHOB

Geological data

Using NN-software

NN- Kfor Non

cored wells

Phase 3 Static Model

NN- Kfor Non

cored wells

RRT for NonCored Wells

Using SOM-software

RRT from Cored Wells

PG for NonCored Wells

PHIEK PG

PHIE

RRT

Step(2)

Petrophysical Grouping (PG) Assignment

Page 19: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

19

Data clustering

Permeability cored wells

Field was clustered toreduce effects of fluidsand structure position

Page 20: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

20

Clusters Permeability Histogram Comparison

1 2 4

65

10 119

87

3NW NE

DD E

DD W

MD S DD SE DDSW

DD NCrest

MD NW MD SW

Permeability frequency Histogram shows Consistency between Actual and predicted permeability

Varied Permeability Statistics for each cluster

9

51

2 34

8

7

6

10

11

Page 21: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

21

Results

from PG’s predictions

Page 22: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

22

Cluster 1 apply wells

BAB Field

473

91390614

579

564

494

489

467 464

443

42790

80

617 500

626555205

613

381387

385544203

388366

375

469

367

458

384

372

373

380

364

521368

545

383

395

393

398

458

368

141

449

434

4722479

455

11

16

436

465

2,615,000

2,620,000

2,625,000

2,630,000

2,635,000

2,640,000

2,645,000

2,650,000

2,655,000

2,660,000

2,665,000

745,000 750,000 755,000 760,000 765,000 770,000 775,000 780,000 785,000 790,000 795,000Cored wells Non-cored wells

High PermSTKS

High PermSTKS

Page 23: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

23

NN- Kfor Non

cored wells

Using SOM-software

PG for NonCored Wells

PG from Cored wells

OH logsSW,PHIE,

RHOB

Geological data

Using NN-software

NN- Kfor Non

cored wells

Phase 3 Static Model

NN- Kfor Non

cored wells

RRT for NonCored Wells

Using SOM-software

RRT from Cored Wells

PG for NonCored Wells

PHIEK PG

PHIE

RRT

Step 3 RRT predictions for Non cored wells

Flowchart

Page 24: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

24

Locations of Bab Wells

Bb 27

Bb 255

Bb 389

OWC

Results from cluster 3

Blind Test Validation

ACTUAL Predicted

Page 25: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

25

Results from different clusters

Locations of Bab Wells

Bb 131Bb 32

OWC

Blind Test Validation

Page 26: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

26

Histogram plot for actual RRT and Predicted RRT

RRT prediction

using PG ,PHIE and

K

Page 27: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

27

• NN Permeability predictions were enhanced by adding geologic term to the work flow

• High perm streaks are not predicted by logs (resolution problem)

• To improve prediction we need to eliminate less confident data e.g. logs affected by water/gas injection

• Field clustering were used in predictions to reduce heterogenity effects

Key Learning

Page 28: PERMEABILITY PREDICTIONS, PETROPHYSICAL GROUPING & RRT ASSAIGNMENT Habeeba Al Housani Hani Al-Sahan ADCO, Bab Team Feb 2010

28

Thank You

Thank You