Czerniak eage rhove_20190521_final
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Presented at Second EAGE Workshop on Pore Pressure Prediction
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Czerniak eage rhove_20190521_final
- 2. Abstract: Tu PP 13 RhoVe T Method Empirical Velocity-Density- Temperature-Effective Stress Transform Author: Matt Czerniak, GCS Solutions, Inc. Presenter: Steve O’Connor, Consultant 2
- 4. 4 Dutta-Wendt Effective Stress vs Velocity by Temperature after Alberty, SPE DL Series, 2004
- 5. RhoVeTM T Thermodynamic Solutions (executable) Sonic, Density, Acoustic Impedance RhoVeTM Method Compositional Changes 5
- 6. 0.0 “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 7. 0.1 “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 8. 0.2 “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 9. 0.3 DTCO Sonic Rhob Density “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 10. 0.4 DTCO Sonic Rhob Density “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 11. 0.5 DTCO Sonic Rhob Density “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 12. 0.6 “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23 DTCO Sonic Rhob Density
- 13. 0.7 “kick” alpha’ RhoVeTM Method Compositional Changes AREA: Offshore Nova Scotia Well: CVX H-23
- 14. 1.00. 1.00. v-rho v-z rho-z P-z rho-VES α delimiter v-rho 0. 1.0 α 0. 1.0 v-z α a-term Generalized Display v-VES 0. 1.0 rho-VES 0. 1.0 compositional changes Genetically-Linked f(α’)
- 17. 1.00. 0. 1.00. v-rho v-z rho-z P-z v-VES rho-VES ESnormESnorm α 1.0 α 0. 1.0 Genetically-Linked v-z 1.00. o F o Fo F o F o F o F o F o F a-term v-rho Generalized Display v-VES rho-VES 0. 1.0 α +300o F +300o F f(α’) ongoing chemical compaction compositional changes
- 18. 18 σ 95o C 50o C 120o C o F o F o F o F o F o F o F o F o F o F Power Law α’ = k (To F – ΔƬ)b ΔTau vs. # wells
- 19. 19 σ 95o C 50o C 120o C o F o F o F o F o F o F o F o F o F o F Temp oF vs Depth Power Law α’ = k (To F – ΔƬ)b
- 20. 1.00. 0. 1.00. v-rho v-z rho-z P-z v-VES rho-VES ESnormESnorm α 1.0 α 0. 1.0 Genetically-Linked v-z 1.00. o F o Fo F o F o F o F o F o F a-term v-rho Generalized Display v-VES rho-VES 0. 1.0 α +300o F +300o F f(α’) ongoing chemical compaction compositional changes
- 21. 21 ShenandoahTiber Viosca KnollRask 1997 VK988 PI526 Jack Kaskida Garden Banks SMI23-5
- 22. dT.usec/ft RHOB.G/C3 o F o F o F o F Bowers “slow” trend plateau Modified from University of OSLO Dept of Geosciences 22
- 30. 30 Tiber Keathley Canyon Walker Ridge Rask 1997 Jack VK988 PI526 SMI23-5 Kaskida Garden Banks
- 36. 36 ShenandoahTiber Viosca KnollRask 1997 VK988 PI526 Jack Kaskida Garden Banks SMI23-5
- 37. 37 MDT rhobdT sonic rhob 0 degrees FΔƬ: rhob sonic AI plateau “d”:0.6/0.84
- 38. 38 MDT rhobdT sonic rhob 0 degrees FΔƬ: rhob sonic AI plateau “d”:0.6/0.84
- 39. 39 VK988 dT 0. 198o F 180o F 156o F 214o F 227o F 239o F 125o F 270o F 250o F 260o F sonic
- 40. 40 VK988 o F o F dT 0. 1.0 o F o F 227o sonicsonic 198o F 180o F 156o F 270o F 260o F 125o F
- 41. 41 VK988 o F dT 0. 1.0 227o sonicsonic 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F
- 42. 42 VK988 dT 0. sonicsonic 1.0 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F
- 43. 43 VK988 dT 0. 1.0 sonicsonic 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F
- 44. sonicsonic 44 VK988 dT 0. 1.0 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F
- 45. 45 VK988 dT 0. 1.0 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F ΔTau vs. # wells
- 46. 46 VK988 dT 0. 1.0 o F WR759 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F ΔTau vs. # wells
- 47. 47 VK988 dT 0. 1.0 WR759 KC102 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F ΔTau vs. # wells
- 48. 48 VK988 Rhob 0. 1.0 WR759 KC102 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F ΔTau vs. # wells
- 49. 49 VK988 Rhob 0. 1.0 WR759 KC102 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F ΔTau vs. # wells MC118
- 50. Advantages High correlation: Temp oF – dT/rho – VES Universal application (age, subsalt) Fully customizable empirical workflow Interactive and temperature-based solutions for: Prospect Exploration Prospect Maturation Real-Time Operations Potential to automate pore pressure solutions. 50
- 51. Conclusions An immediate advancement of the RhoVe method is the density log, which is in play as a pore pressure indicator, and density itself becomes an integral part of the pore pressure workflow. Temperature provides a more fundamentally accurate representation of rock property relationships tied to compositional changes, diagenesis and overpressure generation mechanisms than depth-based methods. Additionally, temperature- based methods (Dutta or other) have an advantage over depth-based methods in that there is a degree of freedom lacking in depth-based approaches, which emphasize one velocity equals one effective stress. Temperature-based methods offer a myriad of velocity-effective stress relationships (by temperature), depending on the state of compositional change. Dutta’s method utilizes Arrhenius Law, First-Order Chemical Rate Theory, Basin Modeling and recommended sample collection and analysis (fore S/I), which requires high level-of-effort allocation of manpower, cost and resources (taking months). In contrast, the RhoVe T temperature-based method is flexible enough to be used in the field at a fraction of cost and resources allocation. A single run on sonic or density takes about 10 minutes. Although a density log is necessary for the original RhoVe Method series (where sonic and density converge), it is not required for the temperature-based method, which uses the same virtual model. The only thing needed for Real-Time (or post well analysis) temperature-based application for a well of interest is a temperature-depth profile (from raw and corrected BHT from offsets) and sonic (or density). 51
- 52. 52
- 53. Glenn Bowers, EMT Richard Swarbrick Jim Kalinec, Equinor Fernando Ziegler, BHP Stephen O’Connor Acknowledgements / Thank You / Questions
- 54. 54 VK988 dT 0. 1.0 WR759 KC102 MC118 ΔTau vs. # wells 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F Paleogene “Wilcox”
- 55. 55 VK988 dT 0. 1.0 WR759 KC102 MC118 ΔTau vs. # wells 198o F 180o F 156o F 214o F 227o F 270o F 239o F 250o F 260o F 125o F Paleogene “Wilcox”
- 56. 56 Power Law α’ = k (To F – ΔƬ)b ΔTau vs. # wells <smectite/drained +75o F +42o C -55o F -31o C -15o F - 8o C 120o C