An example of constraining well test interpretation with the help of seismic By Hamidreza Hamdi Patrick Corbett Andrew Curtis (Edinburgh Uni.) Colin MacBeth 1 “Joint Interpretation of Rapid 4D Seismic with Pressure Transient Analysis”, EAGE/SPE EUROPEC 2010
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An example of constraining well test interpretation with the help of seismic
ByHamidreza Hamdi
Patrick CorbettAndrew Curtis (Edinburgh Uni.)
Colin MacBeth
1
“Joint Interpretation of Rapid 4D Seismic with Pressure Transient Analysis”, EAGE/SPE EUROPEC 2010
Outline
• Overview of Well Testing– Information obtained from well test– Importance of Model recognition
• Reservoir Description– Permeability (horizontal and
vertical)
– Heterogeneities(fractures, layering, change of properties)
– Boundaries (distance to boundaries and shape)
– Pressure (initial and average)
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• The inverse problem
• Model recognition (S)– Well test models are
different from the geomodels in the sense that they are dynamic models and also it’s an averagemodel.
Q vs t
Reservoir
P vs t
Well test transient pressure response plot
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wb
wb wb
DD i
BU
P P P tP P t P t
∆ =∆ = ∆ =
- ( )( ) - ( 0)
∆P’=∂P/∂SupT for General multirate∆P’= ∂P/∂(LogT) for Draw-down∆P’= ∂P/∂[(tp+∆t)/∆t] for Build-up
∂P/∂
SupT
Time, hrLog
Log
Kh
∆p S=skin
Wellbore
Reservoir
Properties Boundaries
=f(rate and time)The trend of pressure derivative curve is important :1. Slope Flow regime indicator2. Value at stabilization =f(permeability, thickness, porosity, rate, viscosity and Bo)3. The separation of ∆P and ∂P/∂SupT indication of Skin( change of permeability in very near well bore area)
• Well test interpretation was constrained• Larger faults mapped out using 3D & 4D seismic • Permeability baffles were realized by 4D signal• Numerical well testing was performed using the information
from seismic data – reduce the uncertainty in model detection
• 4D& 3D seismic help sectorize the map used in numerical well testing software
• reasonable match obtained by integration of numerical well testing and seismic
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Acknowledgements
• Schlumberger
• Weatherford
• Kappa
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References
• Boutad de la Comb, J.L., Akinwunmi, O., 2005. Use of DST for effective dynamic appraisal: case studies from deep offshore west Africa and associated methodology, SPE 97113
• Gringarten, A., 2009. From straight lines to deconvolution - the evolution of the state-of-the-art in well test analysis, EAGE/SPE joint workshop of well testing and seismic, Berlin
• Feitosa,G.S., Lifu, C., Thompson, L.G. and Reynolds, A.C.,1994. Determination of permeability distribution from well-test pressure data, SPE 26047
• MacBeth, C., Floricich, M. and Soldo, J., 2005. Going quantitative with 4D seismic analysis, Geophysical Prospecting, 54, 303–317
• Sahni, A., Kelsch, K., Samorn, H., Boonmeelapprasert, C., 2007. Integrating pressure transient test data with seismic attribute analysis to characterize an offshore fluvial reservoir, SPE 110272
• Zheng, S.Y, Corbett, P.W.M. and Emery, A., 2003.Geological interpretation of well test analysis: case study from a fluvial reservoir in the gulf of Thailand, Journal of Petroleum Geology, Vol. 26(1)
• Zheng, S.Y, Legrand,V.M. and Corbett, P.W.M. ,2007. Geological model evaluation through well test simulation: a case study from the Wytch Farm oilfield, southern England, Journal of Petroleum Geology, Vol. 30(1), pp 41-58