An Overview of Horizontal-Well Completions in the Haynesville Shale
- John Thompson (Schlumberger) | Li Fan (Schlumberger) | Dee Grant (Schlumberger) | Ron B. Martin (Schlumberger) | Kousic T. Kanneganti (Schlumberger) | Garrett J. Lindsay (Schlumberger)
- Document ID
- Society of Petroleum Engineers
- Journal of Canadian Petroleum Technology
- Publication Date
- June 2011
- Document Type
- Journal Paper
- 22 - 35
- 2011. Society of Petroleum Engineers
- 2.4.3 Sand/Solids Control, 2.2.2 Perforating, 2.5.2 Fracturing Materials (Fluids, Proppant), 5.8.2 Shale Gas, 2 Well Completion, 1.2.2 Geomechanics, 4.1.2 Separation and Treating
- unconventional gas, completion optimization, shale gas, horizontal completions, Haynesville shale
- 4 in the last 30 days
- 2,447 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
A steep learning curve has evolved in drilling and completing horizontal wells in the Haynesville shale. The challenge is to understand the production mechanism of the Haynesville and how completion practices in relation to lateral lengths, stages, and stimulation treatments relate with production.
This paper gives an overview of the Haynesville horizontal-well production and the dominant factors that affect production, along with a detailed analysis of the completions. Dominant factors that affect production in the Haynesville shale can be divided into four categories: geology/petrophysics/geomechanics, landing and placement of the lateral, completions, and production control. Integrating all four categories is critical to characterize well performance and optimize future production; however, this paper focusses primarily on the completions.
Self-organizing maps (SOMs) of 49 wells in the strait region of the Haynesville shale reveal that high-producing wells have been treated primarily with slickwater, high fluid and proppant volumes, moderate amounts of 100-US-mesh sand, and moderate pump rates per perforation. These wells are typically located in cluster spacing of approximately 75 ft and have stage lengths of approximately 300 ft. Most show lower post-fracture instantaneous shut-in pressure (ISIP) than lower-producing wells. These observations and characteristics of high-producing wells along with best completion practices can help design optimal completions and stimulation treatments in the Haynesville.
|File Size||3 MB||Number of Pages||14|
Adams, R.L. 2009. Basement Tectonics and Origin of the Sabine Uplift. InGulf Coast Association of Geological Societies Transactions, Vol. 59,3-19. Austin, Texas: UT-Austin Bureau of Economic Geology.
Britt, L.K. and Schoeffler, J. 2009. The Geomechanics of a Shale Play: WhatMakes a Shale Prospective! Paper SPE 125525 presented at the SPE EasternRegional Meeting, Charleston, West Virginia, USA, 23-25 May. doi: 10.2118/125525-MS.
Castillo, J.L. 1987. Modified Fracture Pressure Decline Analysis IncludingPressure-Dependent Leakoff. Paper SPE 16417 presented at the Low-PermeabilityReservoirs Symposium, Denver, 18-19 May. doi: 10.2118/16417-MS.
DrillingInfo. 2010. http://www.info.drillinginfo.com/(accessed June 2010).
Ewing, T.E. 2001. Review of Late Jurassic Depositional Systems and PotentialHydrocarbon Plays. In Gulf Coast Association of Geological SocietiesTransactions, Vol. 41, 85-96. Austin, Texas: UT-Austin Bureau of EconomicGeology.
Ewing, T.E. 2009. The Ups and Downs of the Sabine Uplift and the NorthernGulf of Mexico Basin: Jurassic Basement Blocks, Cretaceous Thermal Uplifts, andCenozoic Flexure. In Gulf Coast Association of Geological SocietiesTransactions, Vol. 59, 253-269. Austin, Texas: UT-Austin Bureau of EconomicGeology.
Fan, L., Thompson, J.W., and Robinson, J.R. 2010. Understand Gas ProductionMechanism and Effectiveness of Well Stimulation in the Haynesville Shalethrough Reservoir Simulation. Paper SPE 136696 presented at the CanadianUnconventional Resources and International Petroleum Conference, Calgary, 9-21October. doi:10.2118/136696-MS.
Fisher, M.K., Heinze, J.R., Harris, C.D., Davidson, B.M., Wright, C.A., andDunn, K.P. 2004. Optimizing Horizontal Completion Techniques in the BarnettShale Using Microseismic Fracture Mapping. Paper SPE 90051 presented at the SPEAnnual Technical Conference and Exhibition, Houston, 26-29 September. doi: 10.2118/90051-MS.
Fisher, M.K., Wright, C.A., Davidson, B.M., Goodwin, A.K., Fielder, E.O.,Buckler, W.S., and Steinberger, N.P. 2002. Integrating Fracture MappingTechnologies to Optimize Stimulations in the Barnett Shale. Paper SPE 77441presented at the SPE Annual Technical Conference and Exhibition, San Antonio,Texas, USA, 29 September-2 October. doi: 10.2118/77441-MS.
IHS Energy. 2010. Enerdeq®, http://energy.ihs.com/Products/Enerdeq/(accessed June 2010).
Jolliffe, I.T. 2010. Principal Component Analysis, second edition.New York: Springer Series in Statistics, Springer-Verlag.
Kohonen, T. 2001. Self-Organizing Maps, third edition, No. 30.Berlin: Springer Series in Information Sciences, Springer-Verlag.
Kosters, E.C., Bebout, D.G., Seni, S.J., Garrett, C.M. Jr., Brown, L.F. Jr.,Hamlin, H.S., Dutton, S.P. et al. 1989. Atlas of Major Texas GasReservoirs, No. 161. Austin, Texas: Special Publication, UT-Austin Bureauof Economic Geology.
Meyer, B.R. and Jacot, R.H. 2000. Implementation of Fracture CalibrationEquations for Pressure Dependent Leakoff. Paper SPE 62545 presented at theSPE/AAPG Western Regional Meeting, Long Beach, California, USA, 19-22 June. doi: 10.2118/62545-MS.
Mukherjee, H., Larkin, S., and Kordziel, W. 1991. Extension of FracturePressure Decline Curve Analysis to Fissured Formations. Paper SPE 21872presented at the Low Permeability Reservoirs Symposium, Denver, 15-17 April. doi: 10.2118/21872-MS.
Nolte, K.G. 1991. Fracturing-Pressure Analysis for Nonideal Behavior. JPet Technol 43 (2): 210-218; Trans., AIME, 291.SPE-20704-PA. doi:10.2118/20704-PA.
Nolte, K.G. and Smith, M.G. 1981. Interpretation of Fracturing Pressures.J Pet Technol 33 (9): 1767-1775. SPE-8297-PA. doi: 10.2118/8297-PA.
Obermayer, K. and Sejnowski, T.J. ed. 2001. Self-Organizing MapFormation: Foundations of Neural Computation. Cambridge, Massachusetts.Massachusetts Institute of Technology.
Parker, M., Buller, D., Petre, E., and Dreher, D. 2009. HaynesvilleShale-Petrophysical Evaluation. Paper SPE 122937 presented at the SPE RockyMountain Petroleum Technology Conference, Denver, 14-16 April. doi: 10.2118/122937-MS.
Petrohawk Energy Corporation. 2010. Operations: Haynesville Shale andBossier Shale, http://www.petrohawk.com/pdf_files/section2.pdf(downloaded 24 May 2010).
Pope, C., Peters, B., Benton, T., and Palisch, T. 2009. HaynesvilleShale--One Operator's Approach to Well Completions in this Evolving Play. PaperSPE 125079 presented at the SPE Annual Technical Conference and Exhibition, NewOrleans, 4-7 October. doi:10.2118/125079-MS.
RigData. 2010. Locations & Operators, http://www.rigdata.com/land_products/drilling_activity/locations_and_operators.aspx(accessed 31 July 2010).
Ritter, H., Martinetz, T., and Schulten, K. 1992. Neural Computation andSelf-Organizing Maps: An Introduction. Reading, Massachusetts: Computation& Neural Systems Series, Addison-Wesley.
Warpinski, N.R., Kramm, R.C., Heinze, J.R., and Waltman, C.K. 2005.Comparison of Single- and Dual-Array Microseismic Mapping Techniques in theBarnett Shale. Paper SPE 95568 presented at the SPE Annual TechnologyConference and Exhibition, Dallas, 9-12 October. doi: 10.2118/95568-MS.
Wescott, W.A. 1983. Diagenesis of Cotton Valley Sandstone (Upper Jurassic),East Texas; implications for tight gas formation pay recognition. AAPGBulletin 67 (6): 1002-1003.