Productivity prediction model and optimal configuration of herringbone multilateral well

Ming Cai , Hong-jun Yin , Hui-ying Zhong , Chun-quan Fu

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (3) : 770 -775.

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Journal of Central South University ›› 2013, Vol. 20 ›› Issue (3) : 770 -775. DOI: 10.1007/s11771-013-1547-2
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Productivity prediction model and optimal configuration of herringbone multilateral well

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Abstract

In order to accurately predict the productivity of herringbone multilateral well, a new productivity prediction model was founded. And based on this model, orthogonal test and multiple factor variance analysis were applied to study optimization design of herringbone multilateral well. According to the characteristics of herringbone multilateral well, by using pressure superposition and mirror image reflection theory, the coupled model of herringbone multilateral well was developed on the basis of a three-dimensional pseudo-pressure distribution model for horizontal wells. The model was formulated in consideration of friction loss, acceleration loss of the wellbore and mixed loss at the confluence of main wellbore and branched one. After mathematical simulation on productivity of the herringbone multilateral well with the coupled model, the effects of well configuration on productivity were analyzed. The results show that lateral number is the most important factor, length of main wellbore and length of branched wellbore are the secondary ones, angle between main and branched one has the least influence.

Keywords

herringbone multilateral well / wellbore pressure drop / productivity prediction / optimization design

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Ming Cai, Hong-jun Yin, Hui-ying Zhong, Chun-quan Fu. Productivity prediction model and optimal configuration of herringbone multilateral well. Journal of Central South University, 2013, 20(3): 770-775 DOI:10.1007/s11771-013-1547-2

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References

[1]

JoshiS D. A review of horizontal well and drainhole technology [C]. SPE Annual Technical Conference and Exhibition, 1987Dallas, USASociety of Petroleum Engineers339-352

[2]

JoshiS D. Production forecasting methods for horizontal wells [C]. International Meeting on Petroleum Engineering, 1998Tianjin, ChinaSociety of Petroleum Engineers303-321

[3]

SalasJ R, CliffordP J, JenkinsD P. Multilateral well performance prediction [C]. SPE Western Regional Meeting, 1996Anchorage, USASociety of Petroleum Engineers591-607

[4]

LiuX-p, ZhangZ-s, CuiG-xiang. Inflow performance relationship of a herringbone multilateral well [J]. Acta Petrolei Sinica, 2000, 21(6): 57-60

[5]

ChenW, ZhuD, HillA D. A comprehensive model of multilateral well deliverability [C]. International Oil and Gas Conference and Exhibition in China, 2000Beijing, ChinaSociety of Petroleum Engineers1-9

[6]

ZhuD, HillA D, LandrumW R. Evaluation of crossflow effects in multilateral wells [C]. SPE/DOE Improved Oil Recovery Symposium, 2002Tulsa, USASociety of Petroleum Engineers1-10

[7]

TurhanY. Multilateral pressure-transient response [J]. SPE Journal, 2003, 8(1): 5-12

[8]

LiC-l, ChengL-s, SunF-jie. Derivation of productivity formula of a fishbone well [J]. Journal of Southwest Petroleum Institute, 2005, 27(6): 36-37

[9]

ChenW-d, HillA D. Development of multilateral well deliverability model [J]. China Offshore Oil and Gas, 2006, 18(6): 394-398

[10]

FanY-p, HanG-q, YangC-chun. Prodcution forecast for herringbore well and optimum configuration of lateral holes [J]. Acta Petrolei Sinica, 2006, 27(4): 101-104

[11]

YangX-s, LiuC-x, YanJin. Research on productivity law of herringbone multilateral gas well [J]. Acta Petrolei Sinica, 2008, 29(5): 727-733

[12]

YinH-j, CaiM, ChenX-q, LvHang. Research on calculating productivity of multilateral horizontal gas well with wellbore pressure drop [J]. Advanced Materials Research, 2011, 171–172(2): 311-314

[13]

YinH-j, CaiM, LvH, MengS-yuan. A stable productivity prediction couple model of herringbone multilateral wells in bottom water drive gas reservoir [J]. Physical and Numerical Simulation of Geotechnical Engineering, 2011, 3(1): 68-73

[14]

CrumptonP I, HabiballahW A, WardellP G, NasserK A, FalehA A. Multilateral-complex well optimization [C]. SPE Reservoir Simulation Symposium, 2011The Woodlands, USASociety of Petroleum Engineers1-12

[15]

YinH-j, CaiMing. Productivity prediction for multilateral horizontal gas well and optimal configuration of lateral wellbore [J]. Physical and Numerical Simulation of Geotechnical Engineering, 2011, 9(6): 3-9

[16]

BrownM, OzkanE, RaghavanR, KazemiH. Practical solutions for pressure-transient responses of fractured horizontal wells in unconventional shale reservoirs [J]. SPE Reservoir Evaluation and Engineering, 2011, 14(6): 663-676

[17]

LinJ-j, ZhuDing. Modeling well performance for fractured horizontal gas wells [C]. International Oil and Gas Conference and Exhibition in China, 2000Beijing, ChinaSociety of Petroleum Engineers1-15

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