Optimizing Fractured Horizontals Performance with Well Test Data (Russian)
- V. M. Krichevskiy (LLC) | N. A. Morozovskiy (LLC) | D. N. Gulyaev (LLC) | M. M. Bikkulov (LLC)
- Document ID
- Society of Petroleum Engineers
- SPE Russian Petroleum Technology Conference, 26-28 October, Moscow, Russia
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 3 Production and Well Operations, 2.5 Hydraulic Fracturing, 2.5.4 Multistage Fracturing, 2.5.1 Fracture design and containment, 5.6 Formation Evaluation & Management, 5.6.4 Drillstem/Well Testing, 3.3 Well & Reservoir Surveillance and Monitoring, 3.3.1 Production Logging, 5 Reservoir Desciption & Dynamics, 2 Well completion
- 3 in the last 30 days
- 234 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 9.50|
|SPE Non-Member Price:||USD 28.00|
The pdf file of this paper is in Russian.
Paper presents multi-fractured horizontals performance analysis in case of low-permeable formation. The puppose of the analysis is to suggest a method of optimizing multi-frac parameters (such as number of fracs, fracs spacing, Xf etc.) in different geological conditions. Paper describes an algorithm of estimating main formation and well characteristics and forecasting future production. In addition, an approach to multi-frac design optimization for new wells is shown.
The main tools of well performance analysis are production logging, well testing, decline analysis and simulation. Authors have performed all these survey types analyzing multi-fractured wells behavior. Authors have developed and successfully implemented of Company fileds new technologies of testing and production logging on such wells. Active development and massive implementation of permanent data gauges systems (PDG) let Company to use decline analysis methods of well performance. A lot of data obtained has led to new interpretation theories development, allowing to explain wells behavior and match pressure and rate data. For more robust estimation of parameters, production logging was performed with use of modern tool with arrays of sensors.
With the results obtained, series of one-layer model calculations was performed, resulting in optimal multi-frac design for one of the fields being studied.
|File Size||2 MB||Number of Pages||8|