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Analysis of Layered Gas Reservoir Performance Using a Quasi-Analytical Solution for Rate and Pressure Behavior. I Nengah Suabdi. Department of Petroleum Engineering Texas A & M University 9 May 2001. Outline. Introduction Objectives Assumptions Semi-analytical solutions
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Analysis of Layered Gas Reservoir Performance Using a Quasi-Analytical Solution for Rate and Pressure Behavior I Nengah Suabdi Department of Petroleum Engineering Texas A & M University 9 May 2001
Outline • Introduction • Objectives • Assumptions • Semi-analytical solutions • New Type Curves for Layered Gas Reservoirs • Field Application • Conclusions
Single Layer or Equivalent Single Layer Model Introduction No-Crossflow Depletion Performance Analysis: • Is a single layer model satisfactory..? Layer-1 Single layer model..? where : k1>k2 ..? • Can single-layer model performance detect layering..? , layer volume..?, or effect of drawdown..? Layer-2 Layered-gas reservoir depletion study: • Fetkovich, M.J. et.al (1990) • Using numerical simulations
Objectives 1. To provide a quasi-analitycal solution for the depletion performance of a well produced at a common production pressure in a layered gas reservoir. 2. To utilize this quasi-analytical gas flow solution as a mechanism for charac-terizing the performance of layered gas reservoirs.
Objectives The proposed analysis techniques will be used to estimate the following properties for a layered gas reservoir system: • The permeability ratio (2-layer case). • Layer productivity index (Jg) • The total original gas-in-place (G). • The total flow capacity (kh product). • The moveable reserves in each layer.
Schematic diagram of layered reservoir Layer-1 Layer- 2 Layer- 3 Layer- n
No-Crossflow Production is commingled Physical Model Gas Reservoir k1 h1 Layer-1 k2 h2 Layer-2 Assumptions: Two-layer (dry) gas reservoir No crossflow in the reservoir Homogeneous (except klayer) Bounded radial system (pseudosteady-state flow) Production is commingled at a constant BHP
is not constant because µ and ct are functions of pressure Gas Diffusivity Equation in terms of :pressure (p), pseudopressure (pp), and time :
Semi-Analytical Solutions We consider the "first-order polynomialmodel" for correlating the curves. This result is given by Ansah, et al. as: We can then develop the dimensionless decline rate (qDd), pressure (pD), and cumulative production (GpD).
Semi-Analytical Solutions The fundamental form of stabilizedflow equation is given by Where :
Semi-Analytical Solutions Gas MBE for moderate to low pressure reservoirs: Where the dimensionless pressures are defined by:
Semi-Analytical Solutions • Dimensionless Pressure (pD) Where :
Semi-Analytical Solutions • Dimensionless Decline Rate (qDd) Where :
Semi-Analytical Solutions • Dimensionless Cumulative Production (GpD) Where :
Semi-Analytical Solutions • In field units, the dimensionless "decline" time is defined as: Where : t = Time, days kj= Permeability ( layer j), md fj = Porosity ( layer j), fraction cti = Total system compressibility, psia-1 re= Radius of the external boundary, ft
Semi-Analytical Solutions • Gas rate production for each layer (qgj) in-term of (p/z)2 is defined as Where : Cj = Stabilized flow coefficient layer-j, Mscf/D/psi2 kj= Permeability ( layer j ), md fj = Porosity ( layer j ), fraction cti = Total system compressibility, psi-1 pref= (pi + pwf)/2, psi
Pressure Depletion Decline Type Curve Vol Layer-1 Vol Layer-2 pwD = 0.1 G
Pressure Depletion Decline Type Curve pwD=0.2 G
Pressure Depletion Decline Type Curve pwD=0.3 G
Pressure Depletion Decline Type Curve pwD=0.4 G
Pressure Depletion Decline Type Curve pwD=0.5 G
Field Application (p/z vs. GptCurve Example) • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Field Application (p/z vs. GptCurve Example) • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Field Application (p/z vs. GptCurve Example) • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Field Application (p/z vs. GptCurve Example) • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
G = 24.11 BSCF p/z versus Gpt —Cartesian format. • Well Beavers 1-11 (Hugoton Field, Kansas, USA) Less Permeable Layer More Permeable Layer
qg versus prod time —semilog format. • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
qg versus prod time —log-log format. • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Gptversus prod time —semilog format. • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Gptversus prod time —log-log format. • Well Beavers 1-11 (Hugoton Field, Kansas, USA)
Estimate properties of Well Beavers 1-11 - Total original gas-in-place (G) = 24.11 BSCF - The permeability ratio (k1/k2) = 68 - Total reservoir thickness, (htot) = 130 ft - Average reservoir radius, (re) = 3,250 ft - Average area each layer, (Aavg) = 761.76 Acres - The total flow capacity, (kh product) = 482 md-ft - The magnitude of wellbore F. Press (Pwf) = 20 psia
Field Application (Rate typeCurve Example) • Nelson well (Hugoton Field, Kansas (USA)) MP
Field Application (Rate typeCurve Example) • Gas Well- B
Conclusions 1.We successfully demonstrated the use of a semi-analytical solution for a single-layer gas system for layered gas reservoir cases presented by Fetkovich, et.al (numerical simulations). 2.A two-layer type curve was developed for the analysis of production performance. The single- layer case can not be used to model the 2-layer case. 3. The sensitivity of individual layer properties was investigated, in particular — permeability ratio, layer volumes, and the effect of drawdown.
Analysis of Layered Gas Reservoir Using Production Data I Nengah Suabdi Department of Petroleum Engineering Texas A & M University 3 February 2001
Field Application (Example) • Curtis well (Hugoton Field, Kansas, USA) Less Permeable Layer