Abstract
Accurate knowledge of formation fracture pressure is essential to optimize well design at all stages of the field development. However, erroneous prediction of formation fracture pressure can lead to process safety incidents such as surface and underground blowouts. While fracture pressure prediction models have been developed for some sedimentary basins, it is difficult to transfer these models to areas beyond the regions of study. In the Niger Delta basin, few fracture pressure prediction models have been developed. However, these models were developed primarily from leak-off test data acquired from the normally pressured intervals. Basically, the existing Niger Delta fracture pressure prediction models lack the leak-off test measurements in the overpressure intervals, because such data are not available. In this paper, a new fracture pressure prediction model that can be applied to normally pressured intervals and overpressure zones is being proposed. Model development is based on establishing a relationship between fracture pressure, true vertical depth and magnitude of overpressure using several leak-off test data acquired from over 100 wells in various fields scattered across the basin. Unlike the previous models, the newly developed model incorporates leak-off test measurements from the overpressure intervals in the basin. In general, the newly proposed model can be used with a high degree of confidence to predict the fracture pressure required for safe and economic well planning across the entire basin.
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Abbreviations
- c :
-
Minimum stress coefficient
- D :
-
True vertical depth (ft)
- ft:
-
Feet
- FP:
-
Fracture pressure (psi)
- FPNPT :
-
Normally pressured trendline fracture pressure (psi)
- G FP :
-
Fracture gradient (psi/ft)
- G OB :
-
Overburden gradient (psi/ft)
- G PP :
-
Pore pressure gradient (psi/ft)
- IPmin :
-
Minimum injection pressure (psi)
- PP:
-
Pore pressure (psi)
- OP:
-
Overpressure (psi)
- PPa :
-
Actual pore pressure (psi)
- PPn :
-
Normal pore pressure (psi)
- K i :
-
Matrix stress ratio
- K o :
-
Effective stress ratio
- \(\sigma_{{\text{h}}}\) :
-
Minimum horizontal stress (psi)
- \(\sigma_{{\text{H}}}\) :
-
Maximum horizontal stress (psi)
- \(\sigma_{{\text{t}}}\) :
-
Horizontal tectonic stress term (psi)
- \(\sigma_{{\text{v}}}\)/\(S_{{\text{v}}}\) :
-
Vertical stress (psi)
- °F:
-
Degree Fahrenheit
- \({\upalpha }\) :
-
Biot’s constant
- T o :
-
Tensile strength (psi)
- v :
-
Poisson’s ratio
References
Aadnoy BS, Larson K (1989) Method for fracture-gradient prediction for vertical and inclined boreholes. SPE Drill Eng 4:99–103. https://doi.org/10.2118/16695-PA
Adewole EO, Macdonald DIM, Healy D (2016) Estimating density and vertical stress magnitudes using hydrocarbon exploration data in the onshore Northern Niger Delta Basin, Nigeria: Implication for overpressure prediction. J Afr Earth Sci 123:294–308. https://doi.org/10.1016/j.jafrearsci.2016.07.009
Ajienka J, Nwokeji B (1988) Evaluating the performance of onshore fracture pressure gradient correlations in the Niger Delta. University of Port Harcourt
Ajienka J, Egbon F, Onwuemena U (2009) Deep offshore fracture pressure prediction in the Niger Delta—a new approach. In: Nigeria annual international conference and exhibition. https://doi.org/10.2118/128339-MS
Akinbinu VA (2010) Prediction of fracture gradient from formation pressures and depth using correlation and stepwise multiple regression techniques. J Pet Sci Eng 72:10–17
Alberty MW, McLean MR (2004) A physical model for stress cages. In: SPE annual technical conference and exhibition. https://doi.org/10.2118/90493-MS
Althaus VE (1977) A new model for fracture gradient. J Can Pet Technol 16:12. https://doi.org/10.2118/77-02-10
Altun G, Langlinais J, Bourgoyne AT Jr (2001) Application of a new model to analyze leak-off tests. SPE Drill Complet 16:108–116. https://doi.org/10.2118/72061-PA
Anderson RA, Ingram DS, Zanier AM (1973) Determining fracture pressure gradients from well logs. J Pet Technol 25:1259–1268. https://doi.org/10.2118/4135-PA
Avasthi JM, Goodman HE, Jansson RP (2000) Acquisition, calibration, and use of the in situ stress data for oil and gas well construction and production. In: SPE rocky mountain regional/low-permeability reservoirs symposium and exhibition. Society of Petroleum Engineers
Avbovbo AA (1978a) Tertiary lithostratigraphy of the Niger Delta. Am Assoc Pet Geol Bull 62:295–306
Avbovbo AA (1978b) Geothermal gradients in the southern Nigeria basin. Bull Can Pet Geol 26:268–274
Berry LN, Macpherson LA (1972) Prediction of fracture gradients from log derived elastic moduli. Log Anal 13(05):12–19
Breckels IM, Van Eekelen HAM (1982) Relationship between horizontal stress and depth in sedimentary basins. J Pet Technol 34:2–191
Brennan RM, Annis MR (1984) A new fracture gradient prediction technique that shows good results in Gulf of Mexico abnormal pressure. In: SPE annual technical conference and exhibition. https://doi.org/10.2118/13210-MS
Bybee K (2008) Wellbore strengthening in shale. J Pet Technol 60:71–72. https://doi.org/10.2118/0108-0071-JPT
Chan AW, Ekbote S, Hows MP, Wong GK (2015) In situ stress measurements during well abandonment. In: 49th U.S. rock mechanic symposium
Chellappah K, Majidi R, Aston M, Cook J (2018) A practical model for wellbore strengthening. In: IADC/SPE drilling conference and exhibition. https://doi.org/10.2118/189589-MS
Constant DW, Bourgoyne AT Jr (1988) Fracture-gradient prediction for offshore wells. SPE Drill Eng 3:136–140
Couzens-Schultz BA, Chan AW (2010) Stress determination in active thrust belts: An alternative leak-off pressure interpretation. J Struct Geol 32:1061–1069
Daines SR (1982) Prediction of fracture pressures for wildcat wells. J Pet Technol 34:863–872. https://doi.org/10.2118/9254-PA
Daukoru JW (1975) PD 4(1) petroleum geology of the Niger Delta. In: World petroleum congress
Doust H, Omatsola E (1990) Niger Delta. In: Divergent/passive margin basins, pp 201–238
Eaton BA (1969) Fracture gradient prediction and its application in oilfield operations. J Pet Technol 21:1353–1360. https://doi.org/10.2118/2163-PA
Edwards ST, Meredith PG, Murrell SAF (1998) An investigation of leak-off test data for estimating in-situ stress magnitudes: application to a basinwide study in the North Sea. In: SPE/ISRM rock mechanics in petroleum engineering. Society of Petroleum Engineers
Evamy BD, Haremboure J, Kamerling P, Knaap WA, Molloy FA, Rowlands PH (1978) Hydrocarbon habitat of Tertiary Niger delta. Am Assoc Pet Geol Bull 62:1–39
Feng Y, Gray KE (2017) Review of fundamental studies on lost circulation and wellbore strengthening. J Pet Sci Eng 152:511–522
Feng Y, Gray KE (2016) A comparison study of extended leak-off tests in permeable and impermeable formations. In: 50th US rock mechanics/geomechanics symposium. American Rock Mechanics Association
Haimson B, Fairhurst C (1967) Initiation and extension of hydraulic fractures in rocks. Soc Pet Eng J 7:310–318
Holbrook PW (1989) A new method for predicting fracture propagation pressure from MWD or wireline log data. In: SPE annual technology conference and exhibition. https://doi.org/10.2118/SPE-19566-MS
Hubbert MK, Willis DG (1957) Mechanics of hydraulic fracturing. Soc Pet Eng 210:153–168
Jenakumo TD, Itua OJ, Ebimobowei WK (2014) Fracture pressure prediction model for deepwater fields, Gulf of Guinea. In: SPE Nigeria annual international conference and exhibition. https://doi.org/10.2118/172454-MS
Kumar A, Savari S, Whitfill D, Jamison DE (2010) Wellbore strengthening: the less-studied properties of lost-circulation materials. In: SPE annual technology conference and exhibition. https://doi.org/10.2118/133484-MS
Li G, Lorwongngam A, Roegiers JC (2009) Critical review of leak-off test as a practice for determination of in-situ stresses. In: 43rd U.S. rock mechanics on symposium. 4th U.S.–Canada rock mechanics on symposium
Lowrey JP, Ottesen S (1995) An assessment of the mechanical stability of wells offshore Nigeria. SPE Drill Complet 10:34–41. https://doi.org/10.2118/26351-PA
Matthews WR, Kelly J (1967) How to predict formation pressure and fracture gradient from electric and sonic logs. Oil Gas J 65:92–106
Oloruntobi OS (2019) The pore pressure, bulk density and lithology prediction. Doctoral dissertation, Memorial University of Newfoundland, PP 59–60. http://research.library.mun.ca/id/eprint/14279
Oloruntobi O, Butt S (2019a) The new formation bulk density predictions for siliciclastic rocks. J Pet Sci Eng 180:526–537. https://doi.org/10.1016/j.petrol.2019.05.017
Oloruntobi O, Butt S (2019b) Energy-based formation pressure prediction. J Pet Sci Eng 173:955–964
Oloruntobi O, Butt S (2020a) Application of specific energy for lithology identification. J Pet Sci Eng 184:106402. https://doi.org/10.1016/j.petrol.2019.106402
Oloruntobi O, Butt S (2020b) The shear-wave velocity prediction for sedimentary rocks. J Nat Gas Sci Eng 76:103084. https://doi.org/10.1016/j.jngse.2019.103084
Oloruntobi O, Adedigba S, Khan F, Chunduru R, Butt S (2018) Overpressure prediction using the hydro-rotary specific energy concept. J Nat Gas Sci Eng 55:243–253
Oloruntobi O, Onalo D, Adedigba S, James L, Chunduru R, Butt S (2019) Data-driven shear wave velocity prediction model for siliciclastic rocks. J Pet Sci Eng. https://doi.org/10.1016/j.petrol.2019.106293
Parriag ER (1976) Prediction of fracture gradients in samaan field. In: SPE petroleum and exposition conference. Society of Petroleum Engineers
Pennebaker ES (1968) An engineering interpretation of seismic data. In: Fall meeting of the socirty of petrolem engineers. AIME. https://doi.org/10.2118/2165-MS
Reginald-Ugwuadu OG, Alabi TI, Eze JO, Ebisike RC (2014) Fracture gradient estimation in the Niger Delta—a practical and statistical approach. In: SPE Nigeria annual international conference and exhibition. https://doi.org/10.2118/172481-MS
Salz LB (1977) Relationship between fracture propagation pressure and pore pressure. In: SPE annual fall technolgy conference and exhibition. https://doi.org/10.2118/6870-MS
Schmitt DR, Zoback MD (1989) Poroelastic effects in the determination of the maximum horizontal principal stress in hydraulic fracturing tests—a proposed breakdown equation employing a modified effective stress relation for tensile failure. In: International journal of rock mechanics and mining sciences and geomechanics abstracts. Elsevier, pp 499–506
Short K, Stauble A (1967) Outline of geology of Niger Delta. Am Assoc Pet Geol Bull 51:761–779
Taylor DB, Smith TK (1970) Improved facture gradient estimates in offshore drilling operations. In: Drilling and production practice. American Petroleum Institute
Ugwu SA, Nwankwo CN (2014) Integrated approach to geopressure detection in the X-field, Onshore Niger Delta. J Pet Explor Prod Technol 4:215–231
Vuckovic V (1989) Prediction of fracture gradients offshore Australia. SPE Asia Pac Conf. https://doi.org/10.2118/19468-MS
Wang H, Soliman MY, Shan Z, Meng F, Towler BF (2011) Understanding the effects of leakoff tests on wellbore strength. SPE Drill Complet 26:531–539
Weber KJ (1987) Hydrocarbon distribution patterns in Nigerian growth fault structures controlled by structural style and stratigraphy. J Pet Sci Eng 1:91–104
Yusuf B, Oloruntobi O, Butt S (2019) The formation bulk density prediction for intact and fractured siliciclastic rocks. Geod Geodyn. https://doi.org/10.1016/j.geog.2019.05.005
Zhang J (2011) Pore pressure prediction from well logs: methods, modifications, and new approaches. Earth Sci Rev 108:50–63
Zhang J, Yin S-X (2017) Fracture gradient prediction: an overview and an improved method. Pet Sci 14:720–730
Zhang Y, Zhang J (2017) Lithology-dependent minimum horizontal stress and in-situ stress estimate. Tectonophysics 703:1–8
Acknowledgements
The authors thankfully acknowledge the support provided by the Advanced Drilling Technology Laboratory Group, Memorial University of Newfoundland, Canada. Special thanks to Mr. Adeyemi Erinle of Shell for providing technical support.
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Oloruntobi, O., Falugba, O., Ekanem-Attah, O. et al. The Niger Delta basin fracture pressure prediction. Environ Earth Sci 79, 345 (2020). https://doi.org/10.1007/s12665-020-09081-5
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DOI: https://doi.org/10.1007/s12665-020-09081-5