Advanced Production Data Analysis (PDA) Techniques Using Stochastic Single-Well History Matching in Coalbed Methane (CBM) Wells

2014 ◽  
Author(s):  
Alastair Ong ◽  
Laurent Alessio ◽  
Yassine Ben Salah ◽  
Christopher Connell ◽  
Saeed Majidaie ◽  
...  
Keyword(s):  
Data Analysis ◽  
Coalbed Methane ◽  
History Matching ◽  
Production Data ◽  
Single Well ◽  
Advanced Production

Advanced Production Data Analysis (PDA) Techniques Using Stochastic Single-Well History Matching in Coalbed Methane (CBM) Wells

2014 ◽  
Author(s):  
Alastair Ong ◽  
Laurent Alessio ◽  
Yassine Ben Salah ◽  
Christopher Connell ◽  
Saeed Majidaie ◽  
...  
Keyword(s):  
Data Analysis ◽  
Coalbed Methane ◽  
History Matching ◽  
Production Data ◽  
Single Well ◽  
Advanced Production

Production-Data Analysis of Single-Phase (Gas) Coalbed-Methane Wells

2007 ◽  
Vol 10 (03) ◽  
pp. 312-331 ◽  
Author(s):  
Christopher R. Clarkson ◽  
R. Marc Bustin ◽  
John P. Seidle
Keyword(s):  
Coalbed Methane ◽  
Single Phase ◽  
Material Balance ◽  
Production Data ◽  
Reservoir Properties ◽  
Type Curve ◽  
Well Production ◽  
Single Well ◽  
Permeability Anisotropy ◽  
Cbm Production

Summary Coalbed-methane (CBM) reservoirs commonly exhibit two-phase-flow (gas plus water) characteristics; however, commercial CBM production is possible from single-phase (gas) coal reservoirs, as demonstrated by the recent development of the Horseshoe Canyon coals of western Canada. Commercial single-phase CBM production also occurs in some areas of the low-productivity Fruitland Coal, south-southwest of the high-productivity Fruitland Coal Fairway in the San Juan basin, and in other CBM-producing basins of the continental United States. Production data of single-phase coal reservoirs may be analyzed with techniques commonly applied to conventional reservoirs. Complicating application, however, is the unique nature of CBM reservoirs; coal gas-storage and -transport mechanisms differ substantially from conventional reservoirs. Single-phase CBM reservoirs may also display complex reservoir behavior such as multilayer characteristics, dual-porosity effects, and permeability anisotropy. The current work illustrates how single-well production-data-analysis (PDA) techniques, such as type curve, flowing material balance (FMB), and pressure-transient (PT) analysis, may be altered to analyze single-phase CBM wells. Examples of how reservoir inputs to the PDA techniques and subsequent calculations are modified to account for CBM-reservoir behavior are given. This paper demonstrates, by simulated and field examples, that reasonable reservoir and stimulation estimates can be obtained from PDA of CBM reservoirs only if appropriate reservoir inputs (i.e., desorption compressibility, fracture porosity) are used in the analysis. As the field examples demonstrate, type-curve, FMB, and PT analysis methods for PDA are not used in isolation for reservoir-property estimation, but rather as a starting point for single-well and multiwell reservoir simulation, which is then used to history match and forecast CBM-well production (e.g., for reserves assignment). CBM reservoirs have the potential for permeability anisotropy because of their naturally fractured nature, which may complicate PDA. To study the effects of permeability anisotropy upon production, a 2D, single-phase, numerical CBM-reservoir simulator was constructed to simulate single-well production assuming various permeability-anisotropy ratios. Only large permeability ratios (>16:1) appear to have a significant effect upon single-well production characteristics. Multilayer reservoir characteristics may also be observed with CBM reservoirs because of vertical heterogeneity, or in cases where the coals are commingled with conventional (sandstone) reservoirs. In these cases, the type-curve, FMB, and PT analysis techniques are difficult to apply with confidence. Methods and tools for analyzing multilayer CBM (plus sand) reservoirs are presented. Using simulated and field examples, it is demonstrated that unique reservoir properties may be assigned to individual layers from commingled (multilayer) production in the simple two-layer case. Introduction Commercial single-phase (gas) CBM production has been demonstrated recently in the Horseshoe Canyon coals of western Canada (Bastian et al. 2005) and previously in various basins in the US; there is currently a need for advanced PDA techniques to assist with evaluation of these reservoirs. Over the past several decades, significant advances have been made in PDA of conventional oil and gas reservoirs [select references include Fetkovich (1980), Fetkovich et al. (1987), Carter (1985), Fraim and Wattenbarger (1987), Blasingame et al. (1989, 1991), Palacio and Blasingame (1993), Fetkovich et al. (1996), Agarwal et al. (1999), and Mattar and Anderson (2003)]. These modern methods have greatly enhanced the engineers' ability to obtain quantitative information about reservoir properties and stimulation/damage from data that are gathered routinely during the producing life of a well, such as production data and, in some instances, flowing pressure information. The information that may be obtained from detailed PDA includes oil or gas in place (GIP), permeability-thickness product (kh), and skin (s), and this can be used to supplement information obtained from other sources such as PT analysis, material balance, and reservoir simulation.

Rigorous gas field production data analysis

2019 ◽  
Vol 59 (2) ◽  
pp. 780
Author(s):  
Christopher Evans ◽  
Antony Corrie-Keilig
Keyword(s):  
Data Analysis ◽  
Production Data ◽  
Tight Gas ◽  
Brute Force ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Sensitivity Studies ◽  
Head Pressure ◽  
Advanced Production ◽  
Insight Into

With the advent of permanent downhole gauges and automated flowing tubing head pressure measurements, today’s engineers have a veritable plethora of production data on which to characterise gas reservoirs and estimate their ultimate recovery. As consultants, the authors see datasets that have not always been examined to their fullest potential. More often than not this is due to a singular approach to analysis, rather than application of a range of analyses. This paper discusses how combining traditional and more advanced production data analysis techniques has provided insight into fields ranging from tight gas reservoirs to conventional reservoirs under active waterdrive. Such insight is not obtained from brute force application of one size fits all techniques but understanding and using the appropriate combination of techniques that are likely to illuminate the underlying physics of the reservoir at hand. The authors have seen examples where basic data analysis has identified resource ranges outside the range estimated from sensitivity studies with detailed and sophisticated but effectively singular models.

scholarly journals Analytical Solutions for Gas-Water Two-Phase Flow in Multiseam Coalbed Methane Production

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiaoji Shang ◽  
Zhizhen Zhang ◽  
Yixin Niu ◽  
Xiao Yang ◽  
Feng Gao
Keyword(s):  
Coalbed Methane ◽  
History Matching ◽  
Flow Model ◽  
Separation Of Variables ◽  
Separate Flow ◽  
Length Of Service ◽  
Two Phase ◽  
In Situ Data ◽  
Single Well ◽  
Coalbed Methane Production

Multiseam coalbed methane (CBM) exploitation can not only reduce single-well investment but also increase the length of service of the well and significantly enhance the CBM economic recovery of the entire basin. To compare with and further to guide the actual project of CBM production, this study proposed a conceptual gas-water two-phase separate flow model for single coal seam considering the solubility of gas. This mathematical model was solved analytically by separation of variables and verified through history matching of the production data from the No. 3 seam of 1# test well of Jincheng and then applied to investigate the effect of gas solubility on the gas pressure. Furthermore, based on the coupled two-phase separate flow model of single seam, another two-phase separate flow model for the development of multicoal seam development was established. Similarly, the analytical solution of this model for multicoal seam layers was matched with the in situ data of TS-1 well of Liupanshui coal mine. It is found that the height difference and pressure difference between the two seams play key roles in the multiseam CBM development comprehensively.

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