Approaches to Development of High-Viscosity Oil Fields in Arctic Conditions using the Example of the Russkoe Field (Russian)

2011 ◽  
Author(s):  
Inna Yakovlevna Edelman ◽  
N. Ivantsov ◽  
A. Shandrygin ◽  
E. Makarov ◽  
I. Zakirov
2011 ◽  
Author(s):  
Inna Yakovlevna Edelman ◽  
N. Ivantsov ◽  
A. Shandrygin ◽  
E. Makarov ◽  
I. Zakirov

2014 ◽  
Vol 698 ◽  
pp. 679-682
Author(s):  
Anastasia Markelova ◽  
Artem Trifonov ◽  
Valeria Olkhovskaya

The article offers a method to solve Buckley-Leverett’s problem, taking into account the nonlinear dependence of the filtration rate of viscoplastic oil on the pressure gradient. This method is based on the transformation of the fractional flow function by introducing in the theory of water drive the equations reflecting the rheological features of the oil flow. The resulting model allows us to quantify the influence of rheological factors on the completeness of the water-oil displacement and to calculate the performance, taking into account the component composition of the hydrocarbon phases. Taking the Samara Region oil fields as an example, the article shows that the quality of design is unsatisfactory when the bundled software being used does not take into account specific non-Newtonian properties of the high-viscosity oil.


2021 ◽  
Author(s):  
M.G. Persova ◽  
Yu.G. Soloveichik ◽  
A.S. Ovchinnikova ◽  
D.S. Kiselev ◽  
I.I. Patrushev

2020 ◽  
Author(s):  
Svetlana Yur’evna Lobanova ◽  
Berdibek Ulanovich Yelubaev ◽  
Nikolay Evgen’evich Talamanov ◽  
Zhijian Sun ◽  
Chunxi Wang ◽  
...  

Author(s):  
Ivan Zezekalo ◽  
Svetlana Bukhkalo ◽  
Iryna Ivanytska

The method of Arps fall curve as an effective method that allows reliable and efficient prediction of well flow, a necessary parameter for optimal and correct choice of well operation is considered in the article. Forecasting the flow rate of wells in fields with high-viscosity oil stocks is one of the most difficult tasks in the development of oil fields. It is proved that the use of the Arps method simplifies this task, as it gives the correct results quickly and easily. The importance of the choice of well operation methods is analyzed. It has been proven that the analysis of reduced production is a means of identifying productivity problems in wells to assess their future productivity and expected service life. The use of the Harmony Enterprise platform is designed to analyze the performance of oil and gas wells and inventory assessment, to create common corporate work processes, use technical knowledge and exchange interpretations, which allows you to identify promising assets, evaluation and development strategy. The results of this work are very important and necessary for further research and analysis of the fall in production and analysis of the well.


Author(s):  
G.Zh. Moldabayeva ◽  
◽  
A.Kh. Agzamov ◽  
R.T. Suleimenova ◽  
D.K. Elefteriadi ◽  
...  

This article discusses a digital geological model, the transfer of borehole data to the geological grid, and the modeling of the technology of alternating steam and water injection. Alternating injection involves the cyclic injection of steam and water into an injection well in high-viscosity oil fields. The essence of this technology is that during the steam injection for 2-4 months, the formation warms up, leading to a decrease in viscosity and an increase in oil mobility. Then comes the period of water injection, during which the production of already warmed oil continues and the formation pressure is maintained. For digital geological modeling, the following data were collected, processed and prepared: a list of wells that open the object of modeling, coordinates of wellheads, well altitudinal data, inclinometry of well trajectories, GМS data on wells, analysis of wells drilled with core sampling, and digitized seismic data (structural surfaces on the roof of stratigraphic horizons, parameter maps, contact surfaces, faults, structural maps on the roof of target horizons with faults, isochron maps, velocity maps).


2011 ◽  
Author(s):  
Kirill Vladimirovich Chernoletskiy ◽  
Sergey Viktorovich Kartamyshev ◽  
Timur Borisovich Zhuravlev ◽  
Stanislav Olegovich Ursegov

2020 ◽  
Author(s):  
Svetlana Yur’evna Lobanova ◽  
Berdibek Ulanovich Yelubaev ◽  
Nikolay Evgen’evich Talamanov ◽  
Zhijian Sun ◽  
Chunxi Wang ◽  
...  

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