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Analysis of Production Data

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Presentation on theme: "Analysis of Production Data"— Presentation transcript:

1 Analysis of Production Data
Module for: Analysis of Reservoir Performance Analysis of Production Data T.A. Blasingame, Texas A&M U. Department of Petroleum Engineering Texas A&M University College Station, TX (979) — PETE 324 (03A) — Analysis of Production Data

2 Analysis of Production Data
Production data — "low frequency" (taken at large (or even random) intervals) and "low resolution" (data quality (i.e., accuracy) is minimal). Simple Analysis: Rate-time decline curve analysis. EUR analysis (usually rate-cumulative or variation). New stuff — advanced analysis based on a simple, yet robust model (e.g., Knowles qg-Gp analysis) Decline type curve analysis: Systematic, model-based analysis approach. Model identification — transient data analysis. Volume estimates — pseudosteady-state behavior is dictated by material balance (very consistent). PETE 324 (03A) — Analysis of Production Data

3 Production Analysis — Example Case
Rate and pressure profile for a mid-continent (U.S.) gas well, note the daily and seasonal fluctuations in the data. PETE 324 (03A) — Analysis of Production Data

4 Production Analysis — EUR Analysis
Estimated ultimate recovery (EUR) profile for a mid-continent (U.S.) gas well — there is considerable variation in the data. PETE 324 (03A) — Analysis of Production Data

5 Production Analysis — WPA (Data Edit Plot)
Note the transient "spikes" are edited out of the data used for type curve matching. This dataset is more or less typical. PETE 324 (03A) — Analysis of Production Data

6 Production Analysis — WPA Approach
Note that the WPA approach provides a unique analysis/ interpretation of the well performance history. PETE 324 (03A) — Analysis of Production Data

7 Production Analysis — the hard way...
"Van Everdingen-Meyer Method: "Analysis by simulation" (use analytical solution to define x-axis plotting function). Considers all of the data, needs a complete model to generate an appropriate analysis/interpretation. Theoretically simple, practical. Pro: Theoretically simple and practical (can use field data). Con: Limited by solution model as well as data quality. From: SPE — Whitson and Sognesand (1988). PETE 324 (03A) — Analysis of Production Data

8 Production Analysis — Original Type Curve Approach
"Analytical" rate decline curves: Data from van Everdingen and Hurst (1949), replotted as a rate decline plot (Fetkovich, 1973). This looks promising — but this is going to be one really big "type curve." What can we do? Try to col-lapse all of the trends to a single trend during boun-dary-domination flow (Fet-kovich, 1973). From: SPE — Fetkovich (1973). From: SPE — Fetkovich (1973). PETE 324 (03A) — Analysis of Production Data

9 Production Analysis — Fetkovich Type Curves
Composite Transient Type Curve: Collapses the transient flow trends into "stems" related to reservoir size and skin factor (Fetkovich, 1973). Composite Total Type Curve: Addition of the "Arps" empirical trends for "boundary-dominated flow behavior (Fetkovich, 1973)." Assumptions: Constant bottomhole pressure. "Liquid" flow (not gas). From: SPE — Fetkovich (1973). From: SPE — Fetkovich (1973). PETE 324 (03A) — Analysis of Production Data

10 Production Analysis — Fetkovich Type Curves (1)
Fetkovich "Analytical" Type Curve. PETE 324 (03A) — Analysis of Production Data

11 Production Analysis — Fetkovich Type Curves (2)
Fetkovich "Composite" Type Curve (analytical/empirical). PETE 324 (03A) — Analysis of Production Data

12 Production Analysis — Decline Type Curves
Fetkovich Derivative Type Curve: Good concept, but just try to take the derivative of produc-tion data... Fetkovich-McCray Type Curve: Concept is to generate "inte-gral" functions for data analy-sis, much better performance than simply using rate. Still Need: Variable pressure/rate methods. Other models — fractured wells, horizontal wells, etc... From: SPE — Doublet, et al (1994). From: SPE — Palacio, et al (1993). PETE 324 (03A) — Analysis of Production Data

13 Production Analysis — Decline Type Curves
UNFRACTURED Well Case: Variable Rate/Pressure Approach: Use "material balance time" (x-axis) and "pressure drop nor-malized rate" (y-axis) functions. Good news: New concept provides unique behavior during boundary- dominated flow regime. Not-So-Good-News: Wellbore pressure data are critical. From: SPE — Palacio, et al (1993). From: SPE — Doublet, et al (1994). PETE 324 (03A) — Analysis of Production Data

14 Production Analysis — Decline Type Curves (1)
"Fetkovich-McCray" Type Curve for an Unfractured Well — Production Time Format. PETE 324 (03A) — Analysis of Production Data

15 Production Analysis — Decline Type Curves (2)
"Fetkovich-McCray" Type Curve for an Unfractured Well — Material Balance Time Format. PETE 324 (03A) — Analysis of Production Data

16 Production Analysis — Decline Type Curves
FRACTURED Well Cases Infinite-conductivity vertical fracture case Finite-conductivity vertical fracture case(s). From: SPE — Doublet, et al (1996). From: Current Work — Pratikno (2002). From: Current Work — Pratikno (2002). PETE 324 (03A) — Analysis of Production Data

17 Production Analysis — Decline Type Curves (3)
"Fetkovich-McCray" Type Curve for a Fractured Well (Infinite Conductivity) — Material Balance Time Format. PETE 324 (03A) — Analysis of Production Data

18 Production Analysis — Decline Type Curves (4)
"Fetkovich-McCray" Type Curve for a Fractured Well (FcD=0.5) — Material Balance Time Format. PETE 324 (03A) — Analysis of Production Data

19 Production Analysis — Decline Type Curves (5)
"Fetkovich-McCray" Type Curve for a Fractured Well (FcD=10) — Material Balance Time Format. PETE 324 (03A) — Analysis of Production Data

20 Production Analysis — Decline Type Curves
Horizontal Well Cases — "Infinite-conductivity" horizontal well case(s). From: SPE — Shih, et al (1995). From: SPE — Shih, et al (1995). From: SPE — Shih, et al (1995). PETE 324 (03A) — Analysis of Production Data

21 Production Analysis — Decline Type Curves
Decline Type Curve Analysis: "Break-glass-in-case-of-fire" cases From: SPE — Doublet, et al (1995). From: Unpublished — Marhaendrajana (2002) (multiwell analysis — do not use). From: SPE — Doublet, et al (1995). PETE 324 (03A) — Analysis of Production Data

22 Production Analysis — Decline Type Curves (6)
"Fetkovich" Type Curve for an Unfractured Well — Water Influx model ("ramp rate" case). PETE 324 (03A) — Analysis of Production Data

23 Production Analysis — Decline Type Curves
Agarwal, et al Methodology: Basically the same as Blasingame, et al work. More like pressure transient test analy-sis/interpretation. From: SPE — Agarwal, et al (1998). From: SPE — Agarwal, et al (1998). From: SPE — Agarwal, et al (1998). PETE 324 (03A) — Analysis of Production Data

24 Production Analysis — Multiwell Analysis
Multiwell case can be "recast" into single well case using cumulative production for entire field. Homogeneous reservoir example shows that all cases (9 wells) align — same behavior observed for heterogeneous reservoir cases. From: SPE — Marhaendrajana (2001). From: SPE — Marhaendrajana (2001). From: SPE — Marhaendrajana (2001). PETE 324 (03A) — Analysis of Production Data

25 Production Analysis — Reality Check
Production data analyses and pressure transient analyses "see" the reservoir as a volume-averaged set of properties. New solutions/models will also have this view of the reservoir, but quantifying heterogeneity may be possible by the analysis of data at the "local" level. Scaling will remain a major issue — regardless of the mechanism used to analyze reservoir performance. From: Simulator Parameter Assignment and the Problem of Scaling in Reservoir Engineering — Halderson (1986). PETE 324 (03A) — Analysis of Production Data

26 Production Analysis — Future
Future of Production Data Analysis: Evolutionary changes: Better data acquisition (major issue). Multiwell analysis (major issue). Better software (major issue). More reservoir/well solutions (minor issue). Revolutionary changes: Direct dataflow into integrated packages for analysis/simulation (5-10 years). Real-time rate-pressure optimization, simul-taneous monitoring and control (5-10 years). PETE 324 (03A) — Analysis of Production Data

27 Analysis of Production Data End of Presentation
Module for: Analysis of Reservoir Performance Analysis of Production Data End of Presentation T.A. Blasingame, Texas A&M U. Department of Petroleum Engineering Texas A&M University College Station, TX (979) — PETE 324 (03A) — Analysis of Production Data


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