BURG‘ILASH GIDRAVLIKASINI REAL VAQT REJIMIDA MONITORING QILISH VA AVTOMATIK ANIQLASH USULLARINI TAKOMILLASHTIRISH.
Keywords:
burg‘ilash gidravlikasi, real vaqt monitoringi, stendpayp bosimi, oqim sarfi, nasos samaradorligi, halqasimon bo‘shliq, bosim zarbasi, moddiy balans, avtomatik kick aniqlashAbstract
Mazkur maqola burg‘ilash jarayonida gidravlik parametrlarni real vaqt rejimida monitoring qilish hamda ushbu ma’lumotlar asosida texnologik muammolarni, xususan, nasos samaradorligining pasayishi, oqim yo‘llarining o‘zgarishi va qatlamdan suyuqlik kirib kelishi (kick) hodisasini avtomatik aniqlash masalalariga bag‘ishlangan. Ishda burg‘ilash gidravlikasining asosiy parametrlari, ularni o‘lchash va tahlil qilish usullari, shuningdek, nasos ishga tushirilishida yuzaga keladigan o‘tkinchi bosim jarayonlari batafsil ko‘rib chiqilgan. Moddiy balansga asoslangan avtomatik kick aniqlash konsepsiyasi taklif etilib, real ishlab chiqarish ma’lumotlari asosida uning amaliy samaradorligi baholangan. Olingan natijalar burg‘ilash xavfsizligini oshirish, avariya xavfini kamaytirish va burg‘ilash jarayonini boshqarish samaradorligini yaxshilash imkonini beradi.
References
1. A. Aamondt and E. Plaza, 1994, “Case‐Based Reasoning; Fundamental Issued,
2. Methodological Variations, and System Approaches”, Artificial Intelligence
3. Communications, Vol. 7, No. 1, pp. 39‐59.
4. J. Abdollahi and P. Skalle, 2003, “Case Study: Abnormal Drillstring Wash‐out and
5. Fatigue Experienced when Drilling Hazardous Formation in Iranian Oil Field” , SPE
6. Paper 85327
7. W. Aldred et al., 2008,”Development and Testing of a Rig‐Based Quick Event Detection
8. System to Mitigate Drilling Risks”, SPE Paper 111757
9. W. Aldred et al., 1999, “Managing Drilling Risk”, Oilfield Review, Volume 11, Issue 2.
10. K.S. Bjørkevoll et. al., 2003, „Transient Gel Breaking Model for Critical Wells Applications with Field Data Verfication“, SPE Paper 79843
11. A.T. Bourgoyne et. al., 1986 “Applied Drilling Engineering”, SPE Textbook, Vol. 1, ISBN 1‐55563‐001‐4
12. P.A. Daison, 2008, “Early Detection of Drillstring Washouts Based on Downhole Turbine RPM Monitoring Prevents Twist‐offs in Challenging Drilling Environment in India”, SPE Paper 115290
13. D. Hargreaves et. al., 2001, “Early Kick Detection for Deepwater Drilling: New Probabilistic Methods Applied in the Field”, SPE Paper 71369
14. H. Heber and J.E. Asland, Human factors i bore og brØnnoperasjoner‐ Borernes arbeidssituasjon
15. C.H. Litzlbauer et. al.,2002, „ High‐Frequency Mud Pump Pressure Monitoring enables timely Wear Detection“ SPE Paper 77234
16. R. Nybø, 2009, “Efficient Drilling Problem Detection”, PHD Thesis, NTNU, Trondheim
17. Markus Rainer Lüftenegger Page:94
18. A. Saasen et. al, 2009: “Automatic Measurement of Drilling Fluid and Drill‐Cuttings
19. Properties”, SPE Paper 112687
20. D.M. Schafer et al, 1992, “An Evaluation of Flowmeters for the Detection of Kicks and Lost Circulation During Drilling”, SPE Paper 23935
21. G. Schaumberg, 1998, “Bohrloch Kontroll Handbuch”, Band 1, ISBN 3‐00‐002704‐01
22. S.V. Shokouhi et al, 2009, “Integration of real‐time data and past experiences for reducing operational problems” SPE Paper 13969‐MS
23. B.W. Swanson et al., 1997, “Slimhole Early Kick Detection by Real‐Time Drilling Analysis“, SPE Paper 25708
24. A. Therani, 2008, “Thixotropy in Water‐Based Drilling Fluids”, Annual Transaction of the Nordic Rheology Society, Vol. 16
25. G. Thonhauser, 2004, “Using Real‐Time Data for Automated Drilling Performance Analysis”, European Oil and Gas Magazine, Edition, page 170ff.
26. M.A. Weishaupt et al., 1991, “Rig Computer System Improves Safety for Deep HP/HT Wells by Kick Detection and Well Control Monitoring“, SPE Paper 23053.
