«Oilfield engineering»

Application of evolutionary algorithms in the process of hydrodynamic models adaptation of oil reservoirs

UDC: 622.276.1/.4.001.57
DOI: -

Authors:

¹ Perm National Research Polytechnic University, Perm, Russia

Keywords: machine learning, geological-hydrodynamic modeling, adaptation, evolutionary algorithms, bottom-hole productivity, bottomhole pressure, depression

Annotation:

Nowadays, the use of a permanently-acting geological-technological model for predicting the development parameters is a common and effective method. However, it is worth noting that a model adaptation is a multi-iteration task requiring significant resources and time, so the actual problem is the automation of the model adjustment process. The article presents a method of automatic well-bottom pressure adjustment by applying an evolutionary algorithm that modifies the value of a reservoir-to-well connectivity (Well Index). In the course of the algorithm operation, the WMUL multiplier, which affects the value of a reservoir-to-well connectivity (Well Index), is selected according to the criterion of convergence of the calculated and actual depression (repression) for production and injection wells. To ensure the physicality of the modified model for each well an acceptable range of the multiplier values of the well – reservoir connectivity was calculated on the basis of hydrodynamic studies. This algorithm is implemented in the form of a script that allows the selection of the WMUL multiplier with an automatic check for physicality according to the well test data.

Bibliography:

1. Geologo-tekhnologicheskoe modelirovanie zalezhey, priurochennykh k slozhno postroennym karbonatnym kollektoram, na primere odnogo iz mestorozhdeniy Timano-Pechorskoy neftegazonosnoy provintsii / A.V. Raspopov, N.D. Kozyrev, A.A. Kochnev [i dr.] // Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy. – 2021. – № 3(351). – S. 5–11. – DOI: 10.33285/2413-5011-2021-3(351)-5-11

2. Mengaliev A.G., Kozyrev N.D., Kochnev A.A. Nastroyka geologo-gidrodinamicheskikh modeley v usloviyakh otsutstviya dannykh tekhnologicheskikh pokazateley razrabotki // Problemy razrabotki mestorozhdeniy uglevodorodnykh i rudnykh poleznykh iskopaemykh. – 2019. – T. 1. – S. 178–180.

3. Eremyan G.A. Metodika vybora optimal’noy tselevoy funktsii dlya avtoadaptatsii geologo-gidrodinamicheskoy modeli // Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy. – 2021. – № 1(349). – S. 30–38. – DOI: 10.33285/2413-5011-2021-1(349)-30-38

4. Eremyan G.A., Rukavishnikov V.S. Vybor matematicheskogo vyrazheniya i komponentnogo sostava tselevoy funktsii dlya avtomatizirovannoy adaptatsii geologo-gidrodinamicheskikh modeley // Oborudovanie i tekhnologii dlya neftegazovogo kompleksa. – 2021. – № 1(121). – S. 55–61. – DOI: 10.33285/1999-6934-2021-1(121)-55-61

5. Zaginaylo M.V., Fatkhi V.A. Geneticheskiy algoritm kak effektivnyy instrument evolyutsionnykh algoritmov // Innovatsii. Nauka. Obrazovanie. – 2020. – № 22. – S. 513–518.