Automatic determination (autogradation) of complicated well stock as an element of system work using artificial lift for oil production

UDK: 681.518:622.276.53
DOI: 10.24887/0028-2448-2023-8-122-127
Key words: operation of artificial lift well stock, complicated well stock, autogradation, automation, digitalization, information system (IS), Artificial Lift Wells IS, MRM IS, system analysis
Authors: A.B. Noskov (Rosneft Oil Company, RF, Moscow), I.G. Klushin (Rosneft Oil Company, RF, Moscow), I.V. Naumov (RN-Centre for Peer Review and Technical Development LLC, RF, Tyumen), D.V. Novokreschennykh (RN-Centre for Peer Review and Technical Development LLC, RF, Tyumen)

Timely identification of wells (production targets) with a risk of negative complicating factors is an important task that affects the effective operation of artificial lift wells, helps to timely plan measures to protect the downhole pumping equipment and correctly assess Capex and Opex for the implementation of these measures.

This study considers the history of creation and implementation of a module for automatic determination (autogradation) of the complicated well stock (CWS) as an element of system analysis and decision-making in the operation of artificial lift wells under the negative impact of complicating factors, with subsequent access to advanced analytics in the Artificial Lift Wells IS.

The CWS autogradation module is intellectual property of Rosneft Oil Company PJSC, which allows quick determination of wells with an actual manifestation or risk of complicating factors, the class and type of complication, which in turn leads to the state-of-the-art and effective organization of artificial lift wells protection from the negative impact of complicating factors, reduction of premature failures and intra-shift downtime of wells, reduction of cost-forming activities associated with fixing the impact of complicating factors in those wells which are not protected in a timely manner.

The uniqueness of the CWS autogradation module is that it automatically:

 grades the complicated well stock by classes and types of complications;

 grades the complicated well stock into two categories, which allows separating wells that have already registered the fact of negative manifestation of complications and wells for which there is a combination of factors indicating the risk of manifestation of complicating factors in the process of operation;

 gives the user information on what criterion the well has fallen into the CWS (the reason that influenced the manifestation of complicating factor).

 

References

1. Lunin D.A., Minchenko D.A., Noskov A.B. et al., System to improve operational quality of artificial lift wells of Rosneft Oil Company in response to negative impact of complicating factors (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 4, pp. 86–91, DOI: https://doi.org/10.24887/0028-2448-2021-4-86-91

2. Certificate of official registration of a computer program no. 2019617213. Programma informatsionnoy sistemy upravleniya mekhanizirovannym fondom skvazhin (The program of the information system for the management of mechanized well stock), Authors: Akhtyamov A.R., Volkov M.G., Noskov A.B.

3. Lunin D.A., Minchenko D.A., Noskov A.B. et al., Technologies applicability matrix for protecting production wells from the complicating factors negative impact (In  Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023. – №6. – S. 74–77. DOI: https://doi.org/10.24887/0028-2448-2023-6-74-77

4. Topolʹnikov A.S., Prediction of complications in the operation of mechanized wells using the RosPump program (In Russ.), Inzhenernaya praktika, 2014, no. 2, pp. 48–53.



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