Optimization design of coalbed methane pipeline network–coupled wellbore/reservoir simulation

The extraction of coalbed methane, unlike that of conventional gas resources, is characterized by low gas production and low pressure. The traditional optimization methods only focus on the surface system, ignoring the relationship between the surface system and coalbed methane production. Furthermore, the pipeline network suggested by these methods is based on the given productivity of a single well. This article proposes a surface system layout optimization architecture coupled with a production system simulation that considers the profit made in the production cycle as the objective function. Using case studies, we show that the proposed optimization method improves the gas production rate by about 10.9% and increases the profit by 2 million dollars. When the results are analyzed under different network topologies, the tree network emerges as the cheapest and the star network emerges as the most expensive in terms of ground investment. However, when considering productivity and profit, the star network is the best and the tree network is the worst, while the concatenated network is intermediate. The results show that the structure of the surface network has a considerable influence on the coalbed methane reservoirs. Therefore, this article recommends the star structure arrangement for the coalbed methane surface system.

[1]  Yves Smeers,et al.  Optimal Dimensioning of Pipe Networks with Application to Gas Transmission Networks , 1996, Oper. Res..

[2]  Kaj Madsen,et al.  Optimization of pipe networks , 1991, Math. Program..

[3]  Omar Fayez Mohamed El-Mahdy,et al.  Computer aided optimization of natural gas pipe networks using genetic algorithm , 2010, Appl. Soft Comput..

[4]  James P. Brill,et al.  A Study of Two-Phase Flow in Inclined Pipes , 1973 .

[5]  Sita Bhaskaran,et al.  Optimal diameter assignment for gas pipeline networks , 1979 .

[6]  Uri Shamir Optimal Route for Pipelines in Two-Phase Flow , 1971 .

[7]  M. Hanan,et al.  On Steiner’s Problem with Rectilinear Distance , 1966 .

[8]  Thomas Gentzis,et al.  The use of numerical simulation in predicting coalbed methane producibility from the Gates coals, Alberta Inner Foothills, Canada: Comparison with Mannville coal CBM production in the Alberta Syncline , 2008 .

[9]  R. Prim Shortest connection networks and some generalizations , 1957 .

[10]  M. L. Litvak,et al.  Surface Network and Well Tubinghead Pressure Constraints in Compositional Simulation , 1995 .

[11]  Shi-Kuo Chang,et al.  The Generation of Minimal Trees with a Steiner Topology , 1972, JACM.

[12]  Patrick D. Surry,et al.  Constrained Gas Network Pipe Sizing with Genetic Algorithms , 2003 .

[13]  H. Pollak,et al.  Steiner Minimal Trees , 1968 .

[14]  Kenneth Steiglitz,et al.  Optimal Design of Offshore Natural-Gas Pipeline Systems , 1970, Oper. Res..

[15]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[16]  Liu Xinfu Prediction of Flowing Bottomhole Pressures for Two‐Phase Coalbed Methane Wells , 2013 .

[17]  Keith H. Coats Optimum Location of Trunklines in Oil and Gas Fields , 1963 .

[18]  A. Rashid Hasan,et al.  A study of multiphase flow behavior in vertical wells , 1988 .

[19]  J. W. Watts,et al.  A Generalized Wellbore and Surface Facility Model, Fully Coupled to a Reservoir Simulator , 2004 .

[20]  A. Corey,et al.  Effect of Stratification on Relative Permeability , 1956 .

[21]  J. Kruskal On the shortest spanning subtree of a graph and the traveling salesman problem , 1956 .

[22]  Angus R. Simpson,et al.  Genetic algorithms compared to other techniques for pipe optimization , 1994 .

[23]  K. H. Coats,et al.  An Efficient Model for Evaluating Gas Field Gathering System Design , 1971 .

[24]  Jianzhong Zhang,et al.  A Bilevel Programming Method for Pipe Network Optimization , 1996, SIAM J. Optim..

[25]  Rajeev Agarwal,et al.  Gas-field deliverability forecasting: A coupled reservoir simulator and surface facilities model , 1994 .

[26]  Gregory R. King,et al.  Material Balance Techniques for Coal Seam and Devonian Shale Gas Reservoirs , 1990 .

[27]  Ian D. Palmer,et al.  How Permeability Depends on Stress and Pore Pressure in Coalbeds: A New Model , 1998 .

[28]  R. V. Smith,et al.  Practical Solution of Gas-Flow Equations for Wells and Pipelines with Large Temperature Gradients , 1956 .

[29]  Baris Guyaguler,et al.  Near-Well Subdomain Simulations for Accurate Inflow Performance Relationship Calculation to Improve Stability of Reservoir-Network Coupling , 2011, ANSS 2011.

[30]  S. Al-Mutairi,et al.  A Study of Coupling Surface Network to Reservoir Simulation Model in a Large Middle East Field , 2010 .

[31]  Graeme C. Dandy,et al.  Genetic algorithms compared to other techniques for pipe optimization , 1994 .

[32]  Baris Guyaguler,et al.  Near-Well-Subdomain Simulations for Accurate Inflow-Performance-Relationship Calculation To Improve Stability of Reservoir/Network Coupling , 2011 .