«Oilfield engineering»

A methodology of well integrity evaluation using machine learning technology

UDC: 622.276:004.896
DOI: -

Authors:

¹ Tatar Oil Research and Design Institute (TatNIPIneft), Shashin Tatneft, Almetyevsk, Russia
² Almetyevsk State Petroleum Institute, Almetyevsk, Russia
³ Institute of Oil and Gas of the Federal State Budgetary Educational Institution "USPTU" in Oktyabrsky, Oktyabrsky, Russia
⁴ Blagonravov Institute of Machine Science, RAS, Moscow, Russia

Keywords: production casing leak, study, water composition, machine learning, evaluation of impact of the feature

Annotation:

Currently, adequate and timely evaluation of wells integrity is of great concern due to oil fields development at the late stages of their operation, high water-flooding and ageing well stock. It is a common practice to use well logging tools to evaluate casing strings integrity. These factors enable detection of casing leaks as well as identification of leaking intervals. However, heavy workload on field specialists sometimes prohibits timely arrival of well logging personnel for well integrity evaluation. Its results in failure to achieve target oil production, increased water cut, adverse environmental impacts, nonproductive injection, and poor economic performances. High risk of unavailing trips that fail to detect production casing leaks is noted as well. A solution to the above-mentioned problems, proposed by the authors of the article, relies on the application of machine learning models for wells integrity evaluation. The main features used to predict casing leaks include chemical water analysis, well age, number of wells workovers, well production performance and wells design. The resultant features data are processed and loaded in machine learning model which allows for real-time detection of wells integrity problems. The approach enables substantially faster decision making, increased reliability of leak detection, and improved economic performances.

Bibliography:

1. K voprosu o negermetichnostyakh ekspluatatsionnykh kolonn / L.B. Khuzina, I.G. Khattakhov, R.R. Khuzin, S.V. Lyubimova // Stroitel’stvo neftyanykh i gazovykh skvazhin na sushe i na more. – 2023. – № 4(364). – S. 35–38. – DOI: 10.33285/0130-3872-2023-4(364)-35-38

2. Nazarov V.F., Mukhutdinov V.K. Kontrol’ germetichnosti obsadnoy kolonny i NKT v nagnetatel’nykh skvazhinakh po izmereniyam kompleksnoy apparaturoy // Innovatsionnaya nauka. – 2015. – № 12-2. – S. 107–112.

3. Khamzin L.G., Vakhitova G.R. Vyyavlenie istochnikov obvodneniya achimovskikh otlozheniy neftyanogo mestorozhdeniya // Bulatovskie chteniya: sb. st. I Mezhdunar. nauch.-prakt. konf., 31 marta 2017 g.: v 5 t. – Krasnodar: Izdatel’skiy Dom–Yug, 2017. – T. 2. Razrabotka neftyanykh i gazovykh mestorozhdeniy. – S. 289–291.

4. Vyyavlenie negermetichnosti muftovykh soedineniy nasosno-kompressornykh trub, obsadnykh i tekhnicheskikh kolonn dlya skvazhin podzemnogo khranilishcha gaza v solyanykh kavernakh metodom spektral’noy shumometrii / A.M. Aslanyan, M.V. Volkov, S.V. Soroka [i dr.] // Georesursy. – 2016. – T. 18, № 3. – S. 186–190. – DOI: 10.18599/grs.18.3.7

5. Izuchenie formirovaniya teplovoy metki v stvole skvazhiny pri induktsionnom nagreve kolonny dlya otsenki debita mezhplastovykh peretokov / I.V. Kanafin [i dr.] // Bulatovskie chteniya: sb. st. I Mezhdunar. nauch.-prakt. konf., 31 marta 2017 g.: v 5 t. – Krasnodar: Izdatel’skiy Dom–Yug, 2017. – T. 1. Prognoz, poisk i razvedka mestorozhdeniy nefti i gaza. Neftegazopromyslovaya geologiya. Razvedochnaya i promyslovaya geofizika. – S. 70–72.

6. Issledovanie teplovogo polya v skvazhine pri zakolonnom dvizhenii zhidkosti v protsesse induktsionnogo vozdeystviya / F.F. Davletshin, A.Sh. Ramazanov, R.Z. Akchurin [i dr.] // Izv. Tomskogo politekhnicheskogo un-ta. Inzhiniring georesursov. – 2023. – T. 334, № 3. – S. 153–164. – DOI: 10.18799/24131830/2023/3/3896

7. Negermetichnost’ skvazhin − global’naya problema, a ne lokal’naya / D.P. Anikeev, S.N. Zakirov, E.S. Anikeeva, A.D. Lysenko // Aktual’nye problemy nefti i gaza. – 2019. – Vyp. 4(27). – S. 1–14. – URL: https://oilgasjournal.ru/issue_27/anikeev-zakirov.pdf (data obrashcheniya: 21.03.2024).

8. Agadulin I.I., Ignat’ev V.N., Sukhorukov R.Yu. Ekologicheskie aspekty negermetichnosti zakolonnogo prostranstva v skvazhinakh razlichnogo naznacheniya // Neftegazovoe delo. – 2011. – № 4. – S. 82–90. – URL: https://ogbus.ru/article/view/ekologicheskie-aspekty-negermetichnosti-zakolonnogo-prostranst/23952 (data obrashcheniya: 21.03.2024).

9. Ekologicheskie voprosy kontrolya za ekspluatatsiey skvazhin podzemnykh khranilishch gaza / R.A. Valiullin, R.F. Sharafutdinov, A.A. Sarvaretdinov [i dr.] // Izv. Samarskogo nauchnogo tsentra RAN. – 2015. – № 5. – S. 256–262.

10. Dzyublo A.D., Ruban G.N. Nadezhnaya diagnostika i likvidatsiya zakolonnykh peretokov kak zalog ekologicheskoy bezopasnosti pri razrabotke neftegazovykh mestorozhdeniy // Aktual’nye problemy nefti i gaza. – 2018. – Vyp. 4. – S. 1–10. – URL: https://oilgasjournal.ru/issue_23/dzyublo-ruban.pdf (data obrashcheniya: 21.03.2024).

11. Perspektivy vnedreniya gorizontal’nykh skvazhin na mestorozhdeniyakh so slozhnym geologicheskim stroeniem / I.G. Fattakhov, A.S. Semanov, A.M. Semanova, I.F. Galiullina // Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy. – 2022. – № 3(363). – S. 46–53. – DOI: 10.33285/2413-5011-2022-3(363)-46-53

12. Termicheskie metody uvelicheniya nefteotdachi / V.Sh. Mukhametshin [i dr.]. – Ufa: UGNTU, 2019. – 238 s.

13. Podderzhanie temperaturnogo rezhima v nagnetatel’nykh skvazhinakh pri ikh ostanovke v usloviyakh nizkikh temperatur / I.G. Fattakhov, R.R. Kadyrov, I.F. Galiullina [i dr.] // Fundamental’nye issledovaniya. – 2015. – № 5(chast’ 3). – S. 547–552.