SPE Conference Paper – 2015
Advanced Data-Driven Performance Analysis For Mature Waterfloods (SPE 174872-MS)
The Salym group of oilfields is located onshore in Western Siberia, Russia's prime oil producing province, and is operated by Salym Petroleum Development (SPD), a 50-50 joint venture between Shell and Gazprom Neft. The main productive formation, comprising strongly layered, deltaic/fluviatile sandstones, has been developed as a pattern waterflood, with over 950 deviated wells drilled since 2004. Overall watercut is currently around 82% and with oil production declining at 6-7% year on year, waterflood management is an absolute strategic priority.
The operator has responded to this challenge by investing heavily in waterflood management and performance evaluation. Particularly, a dedicated effort was made to develop the company's enterprise information architecture and create a purpose-built online waterflood management tool (WMT). All Salym geological, completion, production and well status data is automatically quality-checked, stored and updated in an integrated waterflood database and made accessible through the WMT. The WMT provides a wide range of functionality for data visualization, performance diagnostics and analysis. Furthermore, it is coupled to a full-field surveillance simulation model, which auto-updates with new oilfield data as it becomes available and outputs streamlines, well allocation factors, maps of remaining oil distribution and pattern- and block-level calculated properties. Read More...
SPE Conference Paper – 2013
Smart Alarms Tool Development Approach For Oil Production Monitoring System (SPE 166378-MS)
Data analysis and event alarms are essential part of any production monitoring system. Most often standard event alarms in production monitoring are based on selected measurements. Oil rate, pump intake pressure and temperature, water cut are some of them. Less often alarms are based on calculated values, for example production increase potential. However, they always indicate something goes wrong but never indicate why. Alarms can indicate there are deviations from planned values but do not give any clue about deviation reasons. Production engineer should investigate deviation reasons himself.
From author's point of view, smart alarms are the tool to overcome these challenges. Smart alarms in production monitoring system should be able to determine reasons of parameters deviation and to predict deviations before they become critical.
Smart alarms should use all the information available in order to increase estimation and prediction accuracy. They should classify and rank problems and problem reasons identified from potential future problems to problems required immediate reactions. Smart alarms should give reasonable results based on partial data, and should be able to analyze thousands wells per day. Read More...
SPE Conference Paper – 2013
Streamlines for the target injection calculation in complex field conditions (SPE 166874-MS)
The paper describes a new approach to key two problems arising from the analysis of waterflooding block performance: the identification of block boundaries with minimum cross-flows between blocks and the correct production / injection allocation (distribution) for wells located on the blocks boundaries.
A real-field example, demonstrating the application of the proposed technique, includes the construction of a three-dimensional hydrodynamic model, automatically updated on a monthly basis using actual production / injection data with the streamline map generation. After that, also automatically, the adjustment of waterflooding block boundaries takes place (with the indication of poor drainage areas), with calculation of well allocation factors. The data derived are used in waterflooding performance analysis and block ranking based on a given set of parameters. Read More...
Engineering Practice Journal – IP04-2013
Control system of artificial lift energy efficiency in TNK-BP (IP04-2013)
The idea of building control system of energy efficiency was originated back in 2011. We had to get some software that would allow us to see energy KPIs on daily basis. This system had to cover over 90% of all ESP producer wells. In 2012 we had algorithm approval that would calculate energy consumption forecast for each ESP. This paper tells about pilot implementation of the system in two company business units. If pilot end up with positive results this system would be accepted and implemented in company.
SPE Conference Paper – 2012
Comparative analysis of different techniques for waterflood efficiency assessment (SPE 162112-MS)
Generally, production / injection is allocated using the geometrical technique, where the contribution of a boundary wells into each block (described by an allocation factor) is proportional to the angle, open to flow in this well into the block. Furthermore, this proportion is retained during the entire field life. However, the development practice shows that actual allocation factors may differ significantly from the numbers, predicted by the geometrical approach. Moreover, these factors dynamically change over time with changes in performance of the wells, located inside the block.
In this paper, we describe the results of a comparative analysis on various static and dynamic techniques for calculating well allocation factors. We determined the limitations of various methods and estimated the performance factor accuracy for different waterflooding patterns. Read More...
SPE Conference Paper – 2011
Samotlor: Real-Time Production Optimization for Russia's Largest Field (SPE 149615-MS)
The Samotlor field developed by TNK-BP is the largest oilfield in Russia. The first oil in the Samotlor field was produced in the 1960s. Today, the operating production well stock exceeds 8700, most of them equipped with ESP. At fields with such a high number of wells, every minute there are thousands of events that should be correctly processed to make a correct control decision. Efficient production requires prompt data, fast processing of that data and an appropriate response. By introducing an integrated real-time production monitoring, analysis and control system it is possible to eliminate the process gaps and improve cost-efficiency.
To introduce the production optimization process in real time, a three-phase multidisciplinary project was initiated: (1) installation of the submersible telemetry transducers at the ESP's and data transfer to the workstations; (2) implementation of the well remote control function; (3) implementation of the real-time production monitoring system. During the first phase, 60% of the wells were equipped with the submersible telemetry transducers, 100% of data was transferred to the SCADA. Implementation of the second phase resulted in creating the functions of the ESP remote control. These functions were implemented in the SCADA software, which enables the ESP start up, shutdown, frequency variation and change of the key operation parameters. During the third phase, a real-time production monitoring analytical system was implemented based on the exception criteria. Read More...
SPE Conference Paper – 2010
Implementation Of Real Time Monitoring System For Priobskoye Field (SPE 136375-MS)
This paper describes the application of the data gathering and integration process supported by the data processing and simulation tools in the Southern License Territory (SLT) of Priobskoye Field (West Siberia). The proposed solutions provide a suitable base for daily monitoring of problematic elements with the appropriate feedback to the related services if a problem occurs. The results of this work can be used to analyze the learning process, to evaluate the prospects of return on investments put into the simulation models, which in our case are constantly upgraded and used in work. The important result of this project is a transparent and fast decision-making process supporting oil production activities. Read More...
Oil Industry Journal Paper – 2009
Experience of corporate data management system implementation in Samara-Nafta ZAO (10/2009)
Experience of implementation of information systems REPOS in Samara-Nafta ZAO is presented. The structural features of corporate information system for the independent oil-production enterprise are considered. A review of the basic tools and functions of the system REPOS is carried out. Read More...
SPE Conference Paper – 2008
Next Step of Modeling Technologies: Live Model (SPE 112132-MS)
In accordance with Live Model concept we developed web-system which enables to perform model monitoring and analysis of reservoir simulation results. Using this tool any specialist by means of a web-browser can do the following:
- Make analysis of dynamics well data;
- Make maps, streamlines visualization;
- Estimate the quality of the models history matching;
- Create and calculate a simple model.
This web-system can act as an integral part of corporate information-engineering portal. Then we have opportunity to use dynamic production data, which is stored in corporate database, and automatically update Live Models. The interaction of web-system for models monitoring and analysis with the corporate database and models accessibility helps the oil and gas companies to use modeling results in the process of decision-making more efficiently. Another crucial factor is the opportunity to employ Live Models as training aids, which significantly reduces learning curve and increases the quality of training. Read More...
SPE Conference Paper – 2006
Reservoir Engineering Production Optimization System for Effective Field Management and Performance (SPE 103580-MS)
Effective management of field development is based on daily routine engineering calculations and monitoring key performance indicators of production. At the same time it is recognized through the industry that there exists a gap between reservoir engineering and decision making process for real time reservoir management. Reservoir Engineering Production Optimization System is engineering information portal, which provides web based environment for production engineers and management of oil companies. Read More...