Smart De-Watering and Production System through Real-Time Water Level Surveillance for Coal-Bed Methane Wells

Han, Guoqing; Ling, Kegang; He, Zaixing

doi:10.2118/173408-ms

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Besides, previous researchers have done a lot of work to make the water drainage reasonable in the field. Han et al (2016) developed an automation data processing and control system to surveil the reservoir pressure change in real time and adjust the pump to avoid an aggressive production. Gao et al (2018) investigated the investigation radius and pressure drawdown gradient by deconvolution algorithm and determined the suitable production performance by analyzing the relationship between working fluid level and steady gas production rate.…”

Section: Introductionmentioning

confidence: 99%

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Novel method for optimizing the dewatering rate of a coal-bed methane well

Wu²,

Li³

et al. 2020

Energy Exploration & Exploitation

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The reasonable dewatering rate in the single-phase water flow plays an essential role in pressure propagation and coal-bed methane production. However, current fluid velocity sensitivity experiments cannot provide an optimum dewatering rate for field coal-bed methane production. This study proposes a new method to optimize the dewatering rate for coal-bed methane wells by assuming the investigation distance reaches the well boundary when the bottom hole pressure declines to the critical desorption pressure. The effect of the stress sensitivity and fluid velocity sensitivity on pressure propagation was first simulated with COMSOL Multiphysics software. The results showed that the expansion area considering the stress sensitivity is shorter than that neglecting the stress sensitivity when the bottom hole pressure reached to the critical desorption pressure at 200 days. The expansion area with high dewatering rate will be shorter about 35 m than that with low dewatering rate at 200 days. The relationship between the maximum investigation distance and required time was established to optimize the dewatering rate by combining the pressure profile considering the influence of stress sensitivity with material balance equation. The new model indicates that the initial permeability, porosity, and cleat compressibility have an important effect on investigation distance. The simulation of these parameters’ sensitivity suggests that the bigger the ratio of initial permeability and porosity, the longer the investigation distance is, and the smaller the cleat compressibility is, the longer the expansion area is. According to this model, we need to take more than 600 days at 0.58 m/d constant dewatering rate to reach the maximum investigation distance of 0.67 mD initial permeability. This work can be conducive to choose reasonable dewatering rate in single-phase water flow for coal-bed methane well production.

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Section: Introductionmentioning

confidence: 99%

“…Besides, previous researchers have done a lot of work to make the water drainage reasonable in the field. Han et al. (2016) developed an automation data processing and control system to surveil the reservoir pressure change in real time and adjust the pump to avoid an aggressive production.…”

Section: Introductionmentioning

confidence: 99%

Novel method for optimizing the dewatering rate of a coal-bed methane well

Wu²,

Li³

et al. 2020

Energy Exploration & Exploitation

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“…Coal fines volumetric concentration comes in different values for different coal seams, depending on the reservoir properties. However, it usually ranges from less than 1% to 3% (Han et al, 2016), and the higher the coal fines concentration, the more viscous the fluid is (Narah, 2007). Due to the high hydrophobicity of coal fines, they are prone to congregate in water, rather than staying in the dispersed status.…”

Section: Coal Fines Characteristicsmentioning

confidence: 99%

Integrated geomechanical, geohydraulic and geological (3G) study of coal fines generation and migration

Bai¹

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This study, considering the Geomechanical, Geohydraulic and Geological (3G) aspects, delivers fundamental understandings of coal fines generation and migration during the CSG production processes, and useful guidelines are suggested to be implemented in the field to minimize production loss induced by coal fines behaviours. v Declaration by author This thesis is composed of my original work, and contains no material previously published or written by another person except where due reference has been made in the text. I have clearly stated the contribution by others to jointly-authored works that I have included in my thesis. I have clearly stated the contribution of others to my thesis as a whole, including statistical assistance, survey design, data analysis, significant technical procedures, professional editorial advice, financial support and any other original research work used or reported in my thesis. The content of my thesis is the result of work I have carried out since the commencement of my higher degree by research candidature and does not include a substantial part of work that has been submitted to qualify for the award of any other degree or diploma in any university or other tertiary institution. I have clearly stated which parts of my thesis, if any, have been submitted to qualify for another award. I acknowledge that an electronic copy of my thesis must be lodged with the University Library and, subject to the policy and procedures of The University of Queensland, the thesis be made available for research and study in accordance with the Copyright Act 1968 unless a period of embargo has been approved by the Dean of the Graduate School.

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Effective Applications of Extended Exponential Decline Curve Analysis to both Conventional and Unconventional Reservoirs

Zhang¹,

Nelson²,

Olds³

et al. 2016

SPE Annual Technical Conference and Exhibition

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In the last decade, the hydrocarbon production from shale plays has increased dramatically, which has greatly impacted the petroleum industry. While this increased production has benefited the industry, at the same time these unconventional resources have presented many challenges to oil and gas reserves evaluators. One of these challenges is predicting long-term shale production performance and life, especially in a timely and reliable manner. When Arps derived the hyperbolic model in 1944, b-factor was assumed as a constant and limited to values less than or equal to 1.0. However, many literature papers and field observations have shown that the b-factor instead changes with time in shale wells and, in many cases, can be well above 1.0, especially during the transient period. As a result, evaluators have modified the original DCA ("modified hyperbolic model") to incorporate a b-factor larger than 1.0 and a minimum exponential decline rate (Dmin) at the late-time life in shale production predictions. This paper further discusses this transient b-factor effect and the benefits of the Extended Exponential Decline Curve Analysis (EEDCA), (Zhanget. al , 2015). EEDCA does not require an estimate of when to switch to a Boundary-Dominated Flow (BDF) model or when to switch to exponential decline for shale oil and gas. All of the model parameters are interdependent and can be calibrated by fitting from the first production data point. Meanwhile, the Dmin used in the modified hyperbolic model is independent from early-time data. This paper further extends the use of EEDCA by applying it to conventional wells. It shows EEDCA is a useful alternative for the Arps method while it holds certain advantages in forecasting shale production. Thus, EEDCA is an integrated solution for both conventional and unconventional reservoirs.

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Smart De-Watering and Production System through Real-Time Water Level Surveillance for Coal-Bed Methane Wells

Cited by 3 publications

References 15 publications

Novel method for optimizing the dewatering rate of a coal-bed methane well

Novel method for optimizing the dewatering rate of a coal-bed methane well

Integrated geomechanical, geohydraulic and geological (3G) study of coal fines generation and migration

Effective Applications of Extended Exponential Decline Curve Analysis to both Conventional and Unconventional Reservoirs

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