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Geoinformatika 2016; 3(59) : 30-39  (in Russian)  

DECISION-MAKING IN CHOOSING DRILL BITS AND DRILLING OPERATIONAL PARAMETERS BASED ON INITIAL DATA

G.M. Efendiyev1, S.A. Aliyev2, M.D. Sarbopeyeva3, K.K. Aghayeva4, O.G. Kirisenko5

1Institute of Geology and Geophysics of Azerbaijan National Academy of Sciences, 119 H. Javid Ave., Baku AZ1073, Azerbaijan,
e-mail: galib_2000@yahoo.com
2Institute of Mathematics and Mechanics of Azerbaijan National Academy of Sciences, 9 B. Vahabzade Str., Baku AZ1141, Azerbaijan,
e-mail: soltanaliyev@yahoo.com
3Caspian State University of Technologies and Engineering named after Sh. Yesenov, Aktau, 32 micro district, Mangystau region 130003,
The Republic of Kazakhstan, e-mail: manshyk84@mail.ru
4Institute of Geology and Geophysics of Azerbaijan National Academy of Sciences, 119 H. Javid Ave., Baku AZ1073, Azerbaijan,
e-mail: kamila.agayeva@hotmail.com
5Institute of Geology and Geophysics of Azerbaijan National Academy of Sciences, 119 H. Javid Ave., Baku AZ1073, Azerbaijan,
e-mail: oleg.kirisenko@gmail.com

The purpose of the paper is to discuss some practical issues regarding the obtaining and usage of complex geological and technological data to assist in decision-making during drilling operations and to suggest methodology and algorithm for bit selection and operational parameters to increase economic viability for specific drilling operations.
Design/methodology/approach. We analyzed the change of mechanical speed with time and effects of operational parameters on diminishing the effect of rock properties by developing a statistical model. We used geological drilling process research along with drill bit operational data from various Azerbaijani and Kazakhstan oil fields. We described an operational parameters optimization algorithm using the data of Karabagly (Azerbaijan) oilfield well, where the following 2 criteria were taken into account: bit run rate and one meter drilling cost.
Practical value/implications. In solving the problems mentioned above, we used statistical models and analysis, random search method and cluster-analysis program. Fuzzy sets concepts were also applied.
Findings. Advanced prediction scheme for drilling operations in real time has been developed based on the obtained models. The suggested prediction algorithm assists in decision-making of optimal drilling parameters which maximize the drilling rate and minimize the cost. Implementation of these models has led to an increase in speed by 51.4, 8.6%, decreasing the cost by $51.42 per meter.

Keywords: geological technical information, swift decision making, drill bits, fuzzy sets, penetration rate, uncertainty, accessories function.

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  • References:

    1. Dyusenov A.T. Povyshenie effektivnosti bureniya skvazhin putem vybora optimal’nogo sochetaniya tipov dolot i tekhnologicheskikh parametrov: avtoref. dis… kand. tekhn. nauk. Atyrau, 2008, 23 p. (in Russian).
    2. Kershenbaum V.Ya., Torgashev A.V., Messer A.G. Burovoy porodorazrushayushchiy instrument. T. 1. Sharoshechnye dolota: mezhdunarodnyy translyator-spravochnik. Moscow, Natsional’nyy institut nefti i gaza, 2003, 258 p. (in Russian).
    3. Kirisenko O.G. Development process control system for drilling for decision-making under uncertainly: avtoref. dis… dokt. filos. tekhn. nauk. Baku, 2012, 24 p. (in Russian).
    4. Kuznetsov Yu.A., Lyubchanskiy S.L., Ponomarev A.V. Operativnyy kontrol’ protsessa bureniya – novye resheniya. Karotazhnik, no. 97, 2002, pp. 54-61 (in Russian).
    5. Litvinov M.A. Sistema kompleksnogo modelirovaniya protsessov pri burenii neftyanykh skvazhin na osnove nechetkikh mnozhestv: avtoref. diss… kand. tekhn. nauk. Orenburg, 2005, 24 p. (in Russian).
    6. Lozynskyi O.E., Lozynskyi V.O. An algorithm and routine for peer assessment of prospects for petroleum productivity of local structures. Geoinformatika, 2013, no. 3, pp. 26-31 (in Ukrainian).
    7. Lukyanov E.E., Strelchenko V.V. Geological and Technological Studies While Drilling. Moscow, Oil and Gaz, 1997, 688 p. (in Russian).
    8. Medzhidov G.N. Povyshenie effektivnosti protsessa bureniya skvazhin s uchetom zakonomernostey razrusheniya gornykh porod v oslozhnennykh usloviyakh: avtoref. diss… kand. tekhn. nauk. Baku, 1999, 24 p. (in Russian).
    9. Polytuchiy A.I. Research and elaboration of the mathematical models for creation of informatization and computerization means of decision making at industrial processes while constracting wells for oil and gas: avtoref. diss… kand. tekhn. nauk. “Mathematical modelling in scientific researches”. Kyiv, 1995, 21 p. Availble at: http://www.referun.com/n/issledovanie-i-razrabotka-matematicheskih-modeley-dlya-sozdaniya-sredstv-informatizatsii-i-kompyuterizatsii-prinyatiya-re (Accessed 14 March 2016) (in Russian).
    10. Potapov O.A., Potapov A.G. Opredelenie effektivnogo vremeni raboty dolota. Stroitel’stvo neftyanykh i gazovykh skvazhin na sushe i na more, 2000, № 8-9, pp. 8-11 (in Russian).
    11. Khairov G.B. Ekologicheski bezopasnaya tekhnologiya stroitel’stva glubokikh razvedochnykh skvazhin. Moscow, VNIIOENG, 1996, 203 p. (in Russian).
    12. Efendiev G.M., Medzhidov G.N. Postroenie i identifikatsiya modeli mekhanicheskoy skorosti prokhodki iteratsionnym metodom. Azerbaydzhanskoe neftyanoe khozyaystvo, 1999, no. 6, pp. 25-30 (in Russian).
    13. Efendiev G.M., Medzhidov G.N., Rzaev P.O. Osnovnye napravleniya issledovaniy svoystv gornykh porod i protsessov ikh razrusheniya s tsel’yu prinyatiya optimal’nykh resheniy pri burenii skvazhin. Neftedobyvayushchaya promyshlennost, Baku, AzNIINTI, 1998, 36 p. (in Russian).
    14. Efendiev G.M., Sadykh-zade L.A., Dzhafarova N.M. Metody klassifikatsii obektov dlya resheniya geologo-tekhnologicheskikh zadach (obzor). Baku, NaftaPress, 2002, 56 p. (in Russian).
    15. Efendiev G.M., Sarbopeeva M.D., Kyzylgulov V.L. Vybor optimal’nykh parametrov bureniya. Oil and gas, 2012, no. 3, pp. 41-43 (in Russian).
    16. Bezdek J.C., Ehrlich R., Full W. The fuzzy c-means clustering algorithm. Computers and Geosciences, 1984, vol. 10, iss. 2-3, pp. 191-203.
    17. Asli K.H., Sahleh H., Aliyev S.A. Mathematical consepts for mechanical engineering design. Waretown, New Jersey, USA, Apple Academic Press, USA, 2013, 246 p.
    18. Eren T. Real-time-optimization of drilling parameters during drilling operations [thesis]. Ankara, Turkey, 2010, 145 p.
    19. Irawan S., Mahfuz A., Abd Rahman A.M., Tunio S.Q. Optimization of Weight on Bit During Drilling Operation Based on Rate of Penetration Model. Research Journal of Applied Sciences, Engineering and Technology, 2012, vol. 4, pp. 1690-1695.