Preview

PROneft. Professionally about Oil

Advanced search

Forecasting the operation of wells in the Bazhenov formation based on a modified dynamic material balance model

https://doi.org/10.51890/2587-7399-2021-6-4-106-115

Abstract

Background. Predicting the dynamics of the Bazhenov formation is an important task. Traditionally, it is carried out using geological and hydrodynamic modeling, i. e., solving the direct problem of hydrodynamics.

However, for shale reservoirs, this approach is not possible, oil production is a derivative of geology to a lesser extent than technology. Industrial net production rates can be obtained from non-reservoirs in the usual sense. The system of technogenic fractures forms a reservoir associated with oil-saturated rock and the properties of such a system are described by too many parameters with high uncertainty and a number of assumptions [3–7]. On the other hand, there are forecasting methods based on solving the inverse problem of hydrodynamics. Having a sufficient amount of development data, it is possible to predict the dynamics of work based on statistical dependencies [9] or proxy material balance models.

The purpose of this work. The purpose of this work was to create a convenient methodology for calculating oil production from the reservoirs of the Bazhenov formation.

Methodology. The paper proposes and tests a method for predicting the dynamics of oil, liquid and gas production for wells in the Bazhenov formation based on a modification of the CRM dynamic material balance model (Capacity-Resistive Models — volume-resistive model).

Results. The method was tested when calculating the technological indicators of development for the object of one of the fields located in the KhMAO and showed its efficiency, which allows us to recommend it as a basis for drawing up project documents as an alternative to building a hydrodynamic model (GDM).

About the Authors

Iskander V. Baykov
Gazpromneft — Technological Partnerships, LLC
Russian Federation


Oleg Yu. Kashnikov
Gazpromneft — Technological Partnerships, LLC
Russian Federation


Rustam Ir. Gatin
Gazpromneft — Technological Partnerships, LLC
Russian Federation


Alexander V. Khanov
Gazpromneft — Technological Partnerships, LLC
Russian Federation


Michael  Yu. Danko
Tumen Oil and Gas Institute, LLC
Russian Federation


References

1. Sayarpour M. Development and Application of Capacitance-Resistive Models to Water/CO 2 Floods. Ph.D. diss. Austin: University of Texas at Austin, 2008.

2. Временное методическое руководство по подсчету запасов нефти в трещинных и трещинно-поровых коллекторах в отложениях баженовской толщи Западно-Сибирской нефтегазоносной провинции // Недропользование 21 век. — 2017. — № 4. — С. 68–101.

3. Ручкин А.А., Степанов С.В., Князев А.В., Степанов А.В., Корытов А.В., Авсянко И.Н. Исследование особенностей оценки взаимовлияния скважин на примере модели CRM // Вестник тюменского государственного университета. Физико-математическое моделирование. Нефть, газ, энергетика. — 2018. Т. 4. — № 4. — С. 148–168.

4. Agarwal R., Gardner D., Kleinsteiber S., Fussel D. Analyzing Well Production Data Using Combined Type Curve and Decline Curve Analysis Concepts. SPE Annual Technical Conference and Exhibition, № SPE 49222.

5. Independent Statistics & Analysis U.S. Department of Energy. Technically Recoverable Shale Oil and Shale Gas Resources: An Assessment of 137 Shale Formations in 41 Countries Outside the United States. Washington, 2013.

6. Albertoni A., Lake L.W. Inferring Interwell Connectivity Only from Well-Rate Fluctuations in Waterfloods // SPEREE. — 2003. — № 6 (1). — P. 6–16.

7. De Vicente J., Lanchares J., Hermida R. Placement by thermodynamic simulated annealing // Physics Letters A. — 2003. Vol. 317. № 5–6. — P. 415–423.

8. Данько М.Ю., Бриллиант Л.С., Завьялов А.С. Применение метода динамического материального баланса и CRM-метода (capacitance-resistive model) к подсчету запасов ачимовских и баженовских коллекторов // Недропользование XXI век. — 2019. — № 4. — С. 76–85.

9. Шевчук Т.Н., Кашников О.Ю., Мезенцева М.А., Байков И.В., Каримов Т.С., Гатин Р.И., Ломовицкий П.В., Коробицын Д.А. Прогноз показателей добычи из пластов баженовской свиты на основе статистических зависимостей и методов машинного обучения // ProНефть. — 2020. — № 4. — С. 63–68.


Review

For citations:


Baykov I.V., Kashnikov O.Yu., Gatin R.I., Khanov A.V., Danko M.Yu. Forecasting the operation of wells in the Bazhenov formation based on a modified dynamic material balance model. PROneft. Professionally about Oil. 2021;6(4):106-115. (In Russ.) https://doi.org/10.51890/2587-7399-2021-6-4-106-115

Views: 125


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-7399 (Print)
ISSN 2588-0055 (Online)