Understanding well performance with surveillance data

Abstract This study presents an inception-to-maturity data acquisition philosophy and deriving value from such surveillance. Specifically, translating wellhead pressures (WHP) to bottomhole pressures (BHP) allowed many reservoir-engineering calculations during the flow period. While conversion of WHP to BHP proved feasible during a flow test, measurements showed that shut-in tests do not lend themselves for such treatment because of rapid heat dissipation of a low-heat-capacity fluid, such as gas. Therefore, we relied upon flow-after-flow (FAF) tests that were embedded in monthly variable-rate production measurements to obtain average reservoir pressure and absolute open-flow potential. These average pressures enriched those that were obtained with downhole gauges from shut-in tests for the material-balance analysis. The resultant time-dependent inflow–performance relationship (IPR) and absolute-open-flow potential helped understand well performance. Indeed, evolution of declining IPR slope led to the identification of gradual wellbore blockage in one of the wells completed openhole. Downhole video recording confirmed mechanical issues in two openhole completions. Production logging showed preferential flow from the upper section of the thick carbonate interval in two wells. However, residual doubts remained about possible flow up the annulus in the openhole/slotted liner completions. Analytic modeling confirmed that the notion of preferential flow up the annulus is untenable.

[1]  What Is the Real Measure of Gas-Well Deliverability Potential? , 2006 .

[2]  Roland N. Horne,et al.  Use of simultaneous flow-rate and pressure measurements to replace isochronal gas well tests , 1988 .

[3]  Ron Cramer,et al.  Real Time Optimization: Classification and Assessment , 2006 .

[4]  Hazim Al-Attar,et al.  A general approach for deliverability calculations of gas wells , 2009 .

[5]  David M. Chorneyko,et al.  Real-Time Reservoir Surveillance Utilizing Permanent Downhole Pressures - An Operator's Experience , 2006 .

[6]  C. S. Kabir,et al.  Does Gauge Placement Matter in Downhole Transient-Data Acquisition? , 1998 .

[7]  C. S. Kabir,et al.  A Wellbore/Reservoir Simulator for Testing Gas Wells in High-Temperature Reservoirs , 1996 .

[8]  Metin Karakas,et al.  Semianalytical Productivity Models for Perforated Completions , 1991 .

[9]  Sathish Sankaran,et al.  The Promise and Challenges of Digital Oilfield Solutions: Lessons Learned from Global Implementations and Future Directions , 2009 .

[10]  C. S. Kabir,et al.  Simplified Wellbore Flow Modeling in Gas-Condensate Systems , 2004 .

[11]  C. S. Kabir,et al.  Real Time Optimization: Classification and Assessment , 2004 .

[12]  C. S. Kabir,et al.  Analytic Wellbore Temperature Model for Transient Gas-Well Testing , 2005 .

[13]  B. Caudle,et al.  A Simplified Procedure for Gas Deliverability Calculations Using Dimensionless IPR Curves , 1984 .

[14]  Boyun Guo,et al.  A Rigorous Composite-Inflow-Performance Relationship Model for Multilateral Wells , 2008 .

[15]  R. W. Chase,et al.  A Simplified Method for Determining Gas-Well Deliverability , 1988 .

[16]  Tor Arne Johansen,et al.  Real-Time Production Optimization of Oil and Gas Production Systems: A Technology Survey , 2007 .

[17]  Gregory R. King,et al.  Estimation of AOFP and Average Reservoir Pressure From Transient Flow-After-Flow Test Data: A Reservoir Management Practice , 1995 .

[18]  E. L. Rawlins,et al.  Back Pressure Data on Natural Gas Wells and Their Application to Production Practices , 1935 .

[19]  C. S. Kabir,et al.  Placement of Permanent Downhole-Pressure Sensors in Reservoir Surveillance , 2009 .

[20]  A. Rashid Hasan,et al.  Simplified Wellbore Flow Modeling in Gas-Condensate Systems , 2006 .