A North North-South Cross Section of Archer Field Summary ...
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T 34S-R 34W 20 21 22 23 25 26 27 28 29 32 33 34 35 36 30 31 T 35S-R 34W 1 2 3 4 5 8 9 10 11 12 13 14 15 16 17 6 7 18 SO FULLER C HEADRICK A GROVER C HEADRICK A HEADRICK A 2 OLLA M. VICKERS HEADRICK B COLLINGWOOD BOLES C 3 BOLES B BOLES C 2 DOWNS A 1 BOLES F 4 BOLES LEMERT GROVER B TUCKER K LEMERT A BOLES F 2 Boles C LEMERT A LEMERT GROVER B 2 TUCKER K BOLES PRINTZ A BOLES F 1 LIBERAL AIRPORT BOLES F 3 PRINTZ A LIBERAL KEATING MATKIN A HATCHER B 3 HATCHER B 5 HATCHER B 4 PRINTZ B MATKIN A HATCHER B 2 LIBERAL AIRPORT PRINTZ B HATCHER C 1 TUCKER MAHONEY A 1 MEHL A MEHL A 2 LENEHAN A LENEHAN A POWELL D 2 Liberal POWELL D LENEHAN A BLOOM A 24 19 Kansas Geological Survey St. Louis Oolite Reservoir Cross section lines WELL SYMBOLS Location Only B zone Oil Well Gas Well Oil & Gas Well Dry Hole SO Dry Hole With Oil Show By: Qi, Lianshuang A A’ B B’ Poster is Available @ Http://www.kgs.ku.edu/PRS/publication/2003/ofr2003-27 Summary: This poster is an illustration of the first phase to build an improved 3D stochastic model and simulation on St. Louis carbonate systems. 1. Seven lithofacies (six main lithofacies) were recognized and classified through the description of fifteen cored wells of three St. Louis oolite shoal reservoirs in Southwestern Kansas. 2. Sequence stratigraphic surfaces were recognized and picked from the cored wells. 3. The reservoir lithofacies, ooid skeletal grainstone, has distinctive petrophysical properties from other non-reservoir lithofaices. 4. Lithofacies were trained with digital logs (GR, Rt, PE and Porosity) to build neural network models from cored wells, and lithofacies were predicted in non-cored wells with these models; 5. Sequence Stratigraphic surfaces were picked in all non-cored well based on the log response. Further Work: Additional work will include: 1. Stratigraphic surfaces will be input into RMS (Roxar) to build a 3D stratigraphic framework. 2. Object-based stochastic modeling (RMS) will be performed to build lithofacies models in three St. Louis oolite reservoirs to model the 3D external geometries of St. Louis oolite shoals. 3. Internal geometries of St. Louis oolite shoals will be illustrated by building 3D porosity and permeability distribution models using stochastic simulation (RMS). 4. Geostatistical models will be verified by inputting into a reservoir simulator and performing a production history match. Acknowledgment: I would like to thank the Kansas Geological Survey for providing the funds for this project as a part of my doctoral research at the University of Kansas. I also would like to specially thank Geoff Bohling for providing help at neural network modeling part, and Dr. Robert Goldstein for insight in this project. Reference: Abegg, F.E., Loope, David b., and Harris, P. M., 2001, Deposition and Diagenesis of Carbonate Eolianites: Modern and ancient carbonate eolianites: Sedimentology, Sequence Stratigraphy, and Diagenesis, SEPM special publication No. 71, p. 17-32. Abegg, F.E., and Handford, C. Robertson, 2001, Deflation origin of Mississippian Carbonate Eolianites of Southwestern Kansas: Modern and ancient carbonate eolianites: Sedimentology, Sequence Stratigraphy, and Diagenesis, SEPM special publication No. 71, p. 183-203. Carr, D. D., 1973, Geometry and origin of oolite bodies in the Ste. Genevieve Limestone (Mississippian) in the Illinois basin: Indiana geological survey Bulletin 48, 81 p. Carr, T. R. and Lundgren, Carl E, 1994, Use of Gamma Ray Spectral Log to recognize Exposure Surfaces at the Reservoir Scale: Big Bow Field (St. Louis Limestone). Kansas: Unconformity-related hydrocarbons in sedimentary sequences, Rocky mountain association of geologists, p. 79-88, 281. Gary, Richard J., 1994, Petrophysical Characterization of Mississippian Ooid-Shoal Reservoirs, Hugoton Embayment, Southwest Kansas, Armco, 46 p. Handford, C. R., 1988, Review of carbonate sand-belt deposition of ooid grainstones and application to Mississippian reservoir, Damme Field, southwestern Kansas: AAPG Bulletin, V. 72, p. 1184-1199. Garsmueck, Mark, and Weger, Ralf, 2002, 3D GPR reveals complex internal structure of Pleistocene oolitic sandbar: The Leading Edge, p 634-639. Well Location Map (Big Bow and Sand Arroyo Creek Field) Well Location Map ( Archer Fild) St. Louis Top Structural Map (Big Bow and Sand Arroyo Creek) St. Louis Top Structural Map (Archer Field) St. Louis Top Slope (Dip Angle)l Map (Big Bow and Sand Arroyo Creek) St. Louis Top Slope (Dip Angle) Map (Big Bow and Sand Arroyo Creek) Cross Section Location Map A A’ South North B B’ West East North-South Cross Section of Archer Field West-East Cross Section of Archer Field Legends for Cross Sections Carbonate Wacke /packStone Oolitic Skeletal Grainstone Carbonate Limestone /Mudstone Cross-bedded Quartz-rich Carbonate Grainstone Sequence Boundary Maximum Flooding Surface Flooding Surface Facies Boundary
Transcript of A North North-South Cross Section of Archer Field Summary ...
T 34S-R 34W
20 21 22 23
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32 33 34 35 36
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T 35S-R 34W
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8 9 10 11 12
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SO
FULLER CHEADRICK A
GROVER CHEADRICK AHEADRICK A 2OLLA M VICKERS HEADRICK B
COLLINGWOOD
BOLES C 3BOLES B
BOLES C 2DOWNS A 1
BOLES F 4BOLESLEMERT GROVER BTUCKER KLEMERT A
BOLES F 2Boles CLEMERT ALEMERT GROVER B 2 TUCKER K
BOLES PRINTZ ABOLES F 1
LIBERAL AIRPORTBOLES F 3PRINTZ A
LIBERALKEATING MATKIN A HATCHER B 3
HATCHER B 5
HATCHER B 4PRINTZ BMATKIN A
HATCHER B 2 LIBERAL AIRPORTPRINTZ BHATCHER C 1
TUCKER
MAHONEY A 1MEHL AMEHL A 2
LENEHAN ALENEHAN APOWELL D 2Liberal
POWELL DLENEHAN A
BLOOM A
24 19
Kansas Geological Survey
St Louis Oolite Reservoir
Cross section lines
WELL SYMBOLSLocation Only
B zone
Oil Well
Gas Well
Oil amp Gas Well
Dry Hole
SO Dry Hole With Oil Show
By Qi LianshuangA
Arsquo
B Brsquo
Poster is Available HttpwwwkgskueduPRSpublication2003ofr2003-27
Summary
This poster is an illustration of the first phase to build an improved 3D stochastic model and simulation on St Louis carbonate systems
1 Seven lithofacies (six main lithofacies) were recognized and classified through the description of fifteen cored wells of three St Louis oolite shoal reservoirs in Southwestern Kansas
2 Sequence stratigraphic surfaces were recognized and picked from the cored wells
3 The reservoir lithofacies ooid skeletal grainstone has distinctive petrophysical properties from other non-reservoir lithofaices
4 Lithofacies were trained with digital logs (GR Rt PE and Porosity) to build neural network models from cored wells and lithofacies were predicted in non-cored wells with these models
5 Sequence Stratigraphic surfaces were picked in all non-cored well based on the log response
Further Work
Additional work will include
1 Stratigraphic surfaces will be input into RMS (Roxar) to build a 3D stratigraphic framework
2 Object-based stochastic modeling (RMS) will be performed to build lithofacies models in three St Louis oolite reservoirs to model the 3D external geometries of St Louis oolite shoals
3 Internal geometries of St Louis oolite shoals will be illustrated by building 3D porosity and permeability distribution models using stochastic simulation (RMS)
4 Geostatistical models will be verified by inputting into a reservoir simulator and performing a production history match
AcknowledgmentI would like to thank the Kansas Geological Survey for providing the funds for this project as a part of my doctoral research at the University of Kansas I also would like to specially thank Geoff Bohling for providing help at neural network modeling part and Dr Robert Goldstein for insight in this project
ReferenceAbegg FE Loope David b and Harris P M 2001 Deposition and Diagenesis of
Carbonate Eolianites Modern and ancient carbonate eolianites Sedimentology Sequence Stratigraphy and Diagenesis SEPM special publication No 71 p 17-32
Abegg FE and Handford C Robertson 2001 Deflation origin of Mississippian Carbonate Eolianites of Southwestern Kansas Modern and ancient carbonate eolianites Sedimentology Sequence Stratigraphy and Diagenesis SEPM special publication No 71 p 183-203
Carr D D 1973 Geometry and origin of oolite bodies in the Ste Genevieve Limestone (Mississippian) in the Illinois basin Indiana geological survey Bulletin 48 81 p
Carr T R and Lundgren Carl E 1994 Use of Gamma Ray Spectral Log to recognize Exposure Surfaces at the Reservoir Scale Big Bow Field (St Louis Limestone) Kansas Unconformity-related hydrocarbons in sedimentary sequences Rocky mountain association of geologists p 79-88 281
Gary Richard J 1994 Petrophysical Characterization of Mississippian Ooid-Shoal Reservoirs Hugoton Embayment Southwest Kansas Armco 46 p
Handford C R 1988 Review of carbonate sand-belt deposition of ooid grainstones and application to Mississippian reservoir Damme Field southwestern Kansas AAPG Bulletin V 72 p 1184-1199
Garsmueck Mark and Weger Ralf 2002 3D GPR reveals complex internal structure of Pleistocene oolitic sandbar The Leading Edge p 634-639
Well Location Map(Big Bow and Sand Arroyo Creek Field)
Well Location Map( Archer Fild)
St Louis Top Structural Map(Big Bow and Sand Arroyo Creek)
St Louis Top Structural Map(Archer Field)
St Louis Top Slope (Dip Angle)l Map(Big Bow and Sand Arroyo Creek)
St Louis Top Slope (Dip Angle) Map(Big Bow and Sand Arroyo Creek)
Cross Section Location Map
A ArsquoSouthNorth
B BrsquoWest East
North-South Cross Section of Archer Field
West-East Cross Section of Archer Field
Legends for Cross Sections
Carbonate WackepackStone
Oolitic SkeletalGrainstone
Carbonate LimestoneMudstone
Cross-bedded Quartz-richCarbonate Grainstone
Sequence Boundary
Maximum Flooding Surface
Flooding Surface
Facies Boundary
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