Orignal Article

A new optimization method for steam-liquid level intelligent control model in oil sands steam-assisted gravity drainage (SAGD) process

  • LIANG Guangyue ,
  • LIU Shangqi ,
  • SHEN Pingping ,
  • LIU Yang ,
  • LUO Yanyan
Expand
  • PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China

Abstract

In order to prevent steam breakthrough and improve thermal efficiency in the process of SAGD development of oil sands by real-time adjustment on injection-production temperature difference (Subcool) according to the growth situations of steam chamber along the wellbore, a series of studies were conducted on coefficients optimization of proportional-integral-derivative (PID) control equation for the steam-liquid level intelligent control model. According to heat conservation and material balance principles, a mathematical model for determining the coefficients of PID control equation was established with the liquid pool in the steam chamber as the objective and the Subcool as the control target. The intelligent steam-liquid level control model suitable for M Block in Canada was optimized using this mathematical model, together with the Ziegler-Nichols (Z-N) tuning method. Application effects of these PID control strategies were evaluated by reservoir numerical simulation. The results show, when the combination of PID proportional, integral and derivative coefficients are used, the time scale for Subcool to evolve to the set point is minimized and the convergence speed and robustness are improved. Compared with conventional steam injection process, the intelligent steam injection based on the PID coefficient optimization method is much better in the uniform conformance of steam chambers along the wellbore, higher in oil production and lower in steam-oil ratio (SOR). Both the model optimization method and the Ziegler-Nichols tuning method are similar in simulation results. Based on the former method, however, the optimization process of the intelligent control model is simplified greatly, so it can be implemented more conveniently and rapidly.

Cite this article

LIANG Guangyue , LIU Shangqi , SHEN Pingping , LIU Yang , LUO Yanyan . A new optimization method for steam-liquid level intelligent control model in oil sands steam-assisted gravity drainage (SAGD) process[J]. Petroleum Exploration and Development, 2016 , 43(2) : 275 -280 . DOI: 10.11698/PED.2016.02.14

References

[1] 穆龙新. 重油和油砂开发技术新进展[M]. 北京: 石油工业出版社, 2012.
MU Longxin. New progress of heavy oil and oil sands development technology[M]. Beijing: Petroleum Industry Press, 2012.
[2] 沈德煌, 吴永彬, 梁淑贤, 等. 注蒸汽热力采油泡沫剂的热稳定性[J]. 石油勘探与开发, 2015, 42(5): 652-655.
SHEN Dehuang, WU Yongbin, LIANG Shuxian, et al. Thermal stability of foam during steam drive[J]. Petroleum Exploration and Development, 2015, 42(5): 652-655
[3] EDMUNDS N R. Investigation of SAGD steam trap control in two and three dimensions[R]. SPE 50413, 1998.
[4] GATES I D, LESKIW C. Impact of steam trap control on performance of steam-assisted gravity drainage[R]. Calgary, Alberta: Petroleum Society’s 59th Annual Technical Meeting, 2008.
[5] BANERJEE S, JOBLING R, ABDELFATTAH T, et al. The role of autonomous flow control in SAGD well design[R]. SPE 166266, 2013.
[6] ZENGQ S, WANG Z M, WANG X Q, et al. A novel autonomous inflow control device design based on the combination of two dynamic fluid technologies[R]. SPE 170069, 2014.
[7] OYEKA O, FELTEN F, LEAST B. Screen-inflow-design considerations with inflow control devices in heavy oil[R]. SPE 170097, 2014.
[8] SHAD S, ENG P, YAZDI M M. Wellbore modeling and design of nozzle-based inflow control device (ICD) for SAGD wells[R]. SPE 170145, 2014.
[9] STAHL R M, SMITH J D, HOBBS S, et al. Application of intelligent well technology to a SAGD producer: Firebag field trail[R]. SPE 170153, 2014.
[10] CLARK H P, ASCANIAO F A, KRUIJSDIJK C V, et al. Method to improve thermal EOR performance using intelligent well technology: Orion SAGD field trial[R]. SPE 137133, 2010.
[11] BEDRY M, SHAW J. Using a new intelligent well technology completions strategy to increase thermal EOR recoveries: SAGD field trial[R]. SPE 154760, 2012.
[12] GATES I D, GOTAWALA D R. SAGD subcool control with smart injection wells[R]. SPE 122014, 2009.
[13] GOTAWALA D R, GATES I D. A basis for automated control of steam trap subcool in SAGD[R]. SPE 159170, 2012.
[14] STONE T, BROWN G, GUYAGULER B, et al. Practical control of SAGD wells with dual-tubing strings[R]. SPE 149352, 2011.
[15] STONET, DAMAS C E P, WOICESHYN G, et al. Advanced wellbore simulation of flow control devices with feedback control for thermal operations[R]. SPE 163594, 2013.
[16] STONE T W, LAW D H S, BAILEY W J. Control of reservoir heterogeneity in SAGD bitumen processes[R]. SPE 165388, 2013.
[17] ÅSTROM K, HAGGLUND T. PID controllers: Theory, design, and tuning[M]. USA: Instrument Society of America, 1995.
[18] IRANI M, GHANNADI S. Understanding the heat-transfer mechanism in the steam-assisted gravity-drainage (SAGD) process and comparing the conduction and convection flux in bitumen reservoirs[R]. SPE 163079, 2012.
Outlines

/