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PERMEABILITY PREDICTIONS , PETROPHYSICAL GROUPING & RRT ASSAIGNMENT
Habeeba Al Housani
Hani Al-Sahan
ADCO, Bab TeamFeb 2010
2
Presentation Outline
• Why we need predictions for non cored wells?
• Work steps
• Results
• Key Learning
3
Why we need Predictions for non
cored wells?
• Limited core data coverage• Better data extrapolation• Full use of log data
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
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
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
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
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
9
Estimated Permeability validation
( Non cored wells)
Compare the Estimated K with 1. MDT mobility data2. Twin wells core data
10
Comparison between MDT/RFT Mobility and core “K” in 3 Cored
Wells
Locations of Bab Wells
Bb 502
Bb 438
Bb 472
OWC
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
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
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
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
15
PG’s Assignment
For
Cored wells
16
Porosity
Self Organizing Map SOM
5 parameters used as input in IPSOM:
Permeability Hyp-tangent Inflexion pointSlop
17
PG /MICP cap curves per PG’s
4
3
2
1
6
5
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
19
Data clustering
Permeability cored wells
Field was clustered toreduce effects of fluidsand structure position
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
21
Results
from PG’s predictions
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
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
24
Locations of Bab Wells
Bb 27
Bb 255
Bb 389
OWC
Results from cluster 3
Blind Test Validation
ACTUAL Predicted
25
Results from different clusters
Locations of Bab Wells
Bb 131Bb 32
OWC
Blind Test Validation
26
Histogram plot for actual RRT and Predicted RRT
RRT prediction
using PG ,PHIE and
K
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
28
Thank You
Thank You