Heavy Oil Production With Steam Injection Using ESPs

2011 ◽  
Author(s):  
Mohammed Issa ◽  
James Fleming ◽  
Kelvin Wonitoy
Keyword(s):  
Heavy Oil ◽  
Oil Production ◽  
Steam Injection

Expansion of Data Analytics for Optimizing Steamflood In Mukhaizna Heavy Oil Field

2021 ◽  
Author(s):  
Mohammed Al Asimi ◽  
Nasar Al Qasabi ◽  
Duc Le ◽  
Yuchen Zhang ◽  
Di Zhu ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Data Analytics ◽  
Oil Production ◽  
Steam Injection ◽  
Lessons Learned ◽  
Oil Field ◽  
Production Performance ◽  
Optimization Process ◽  
Successful Implementation ◽  
Full Field

Abstract After successful implementation of data analytics for steamflood optimization at the Mukhaizna heavy oil field in Oman late 2018, Occidental expanded the project to two additional areas with a total of 626 wells in 2019, followed by full field coverage of more than 3,200 wells in 2020. In 2019, two separate low-fidelity proxy models were built to model the two pilot areas. The models were updated with more features to account for additional reservoir phenomena and a larger scope. On the proxy engine side, speed and robustness were improved, resulting in reduced CPU processing time and lower cost. Because of advancements in software programing and the pilots’ encouraging production performance, full-field coverage was accelerated so the model could support the efforts in optimizing steam injection during the 2020 OPEC+ production cut, not only to comply with allotted quotas, but also to allocate the resources optimally, especially the costly steam. Good improvements have been observed in overall steamflood performance, the models’ capabilities, and the optimization workflow. The steam/oil ratio has been reduced through the increase in oil production in both expanded study areas while keeping the total steam injection volume constant. Overall field steam utilization was improved both during the 2020 OPEC+ production cuts and during the production ramp-up stage afterward. With the continuous improvement in supporting tools and scripts, most of the steam optimization process steps were automated, from preparing, checking, and formatting input data to analyzing, validating, and visualizing the model outputs. Another result of these improvements was the development of a user-friendly web application to manage the model workflow efficiently. This web app greatly improved the process of case submittals, including data preparation and QC, running models (history matching and forecasting), as well as visualization of the entire workflow. In terms of optimization workflow, these improvements resulted in less time spent by the field optimization engineer in updating, refreshing, and generating new model recommendations. It also helped reduce the time spent by the reservoir management team (RMT) to test and validate the new ideas before field implementation. This paper will describe the improvements in the proxy model and the overall optimization process, show the observed oil production increases, and discuss the challenges faced and the lessons learned.

Inflow Performance of a Cyclic-Steam-Stimulated Horizontal Well Under the Influence of Gravity Drainage

SPE Journal ◽  
2011 ◽  
Vol 16 (03) ◽  
pp. 494-502 ◽  
Author(s):  
Z.. Wu ◽  
S.. Vasantharajan ◽  
M.. El-Mandouh ◽  
P.V.. V. Suryanarayana
Keyword(s):  
Heavy Oil ◽  
Horizontal Well ◽  
Oil Production ◽  
Steam Injection ◽  
Oil Field ◽  
Gravity Drainage ◽  
Attractive Alternative ◽  
Underlying Assumption ◽  
Heated Oil ◽  
Condensed Water

Summary In this paper, we present a new, semianalytical gravity-drainage model to predict the oil production of a cyclic-steam-stimulated horizontal well. The underlying assumption is that the cyclic steam injection creates a cylindrical steam chamber in the upper area of the well. Condensed water and heated oil in the chamber are driven by gravity and pressure drawdown toward the well. The heat loss during the soak period and during oil production is estimated under the assumption of vertical and radial conduction. The average temperature change in the chamber during the cycle is calculated using a semianalytical expression. Nonlinear, second-order ordinary differential equations are derived to describe the pressure distribution caused by the two-phase flow in the wellbore. A simple iteration scheme is proposed to solve these equations. The influx of heated oil and condensed water into the horizontal wellbore is calculated under the assumption of steady-state radial flow. The solution from the semianalytical formulation is compared against the results from a commercial thermal simulator for an example problem. It is shown that the model results are in good agreement with those obtained from reservoir simulation. Sensitivity studies for optimization of wellbore length, gravity drainage, bottomhole pressure, and steam-injection rate are conducted with the model. Results indicate that the proposed model can be used in the optimization of individual-well performance in cyclic-steam-injection heavy-oil development. The semianalytical thermal model presented in this work can offer an attractive alternative to numerical simulation for planning heavy-oil field development.

A Study on Effect Evaluating and Parameters Sensitivity Analyzing of Superheated Steam Soak in Heavy Oil Reservoirs

2011 ◽  
Vol 239-242 ◽  
pp. 3069-3073 ◽  
Author(s):  
Qiang Zheng ◽  
Hui Qing Liu ◽  
Zhan Xi Pang ◽  
Fang Li
Keyword(s):  
Heavy Oil ◽  
Superheated Steam ◽  
Oil Production ◽  
Steam Injection ◽  
Injection Rate ◽  
Oil Reservoirs ◽  
Saturated Steam ◽  
Production Volume ◽  
Heavy Oil Reservoirs ◽  
Recovery Percentage

By using the technology of numerical reservoir simulation, we have compared superheated steam soak with saturated steam soak in area of heating, effect of distillation, capability of increasing oil production, volume of steam in need to evaluate the effect of superheated steam soak in heavy oil reservoirs. Analyzed the sensitivity of parameters like steam injection intensity, steam injection rate, soak time, degree of superheat to conclude the rule that they affect on recovery percentage. The research shows that, heating radius of superheated steam is greater than that of saturated steam, distillation effect of superheated steam is better than that of saturated steam, oil production of superheated steam is more than that of saturated steam, steam volume in need of superheated steam is less than that of saturated steam. Recovery percentage of superheated steam soak increases but more and more slowly with the increase in steam injection intensity, increases first and then decreases with the increase in steam injection rate, increases first and then decreases with the increase in soak time, increases but more and more slowly with the increase in degree of superheat. Influence of steam injection intensity is obvious to recovery percentage, but influence of other factors like soak time, steam injection rate, degree of superheat is insignificant.

Application of Multi-Well Steam Injection and CO2 Technology in Heavy Oil Production, Liaohe Oilfield

2018 ◽  
Author(s):  
Fu Jin ◽  
Wang Xi ◽  
Zhang Shunyuan ◽  
Liu Bingshan ◽  
Chen Chen
Keyword(s):  
Heavy Oil ◽  
Oil Production ◽  
Steam Injection ◽  
Liaohe Oilfield

Study of heavy oil production ceasing options using laboratory research and mathematical modeling

2019 ◽  
pp. 32-35
Author(s):  
A.T. Zaripov ◽  
◽  
D.K. Shaikhutdinov ◽  
Ya.V. Zakharov ◽  
A.A. Bisenova ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Heavy Oil ◽  
Oil Production ◽  
Laboratory Research

scholarly journals Geomechanical modelling of cold heavy oil production with sand

Petroleum ◽  
2021 ◽  
Author(s):  
Assef Mohamad-Hussein ◽  
Pablo Enrique Vargas Mendoza ◽  
Paolo Francesco Delbosco ◽  
Claudia Sorgi ◽  
Vincenzo De Gennaro ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Oil Production

ChemInform Abstract: Technology of Synthetic Oil Production from Heavy Oil Stock and Solid Fuels

ChemInform ◽  
2015 ◽  
Vol 46 (48) ◽  
pp. no-no
Author(s):  
L. A. Gulyaeva ◽  
V. A. Khavkin ◽  
O. I. Shmel'kova ◽  
N. Ya. Vinogradova
Keyword(s):  
Heavy Oil ◽  
Oil Production ◽  
Solid Fuels ◽  
Synthetic Oil
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