Multiphase Inflow Quantification for Horizontal Wells Based on High-Sensitivity Spectral Noise Logging and Temperature Modelling (Russian)
- A. I. Ipatov (Gazpromneft LLC Research and Development Centre) | G. M. Nemirovitch (Messoyahaneftegaz CJSC) | M. N. Nikolaev (Messoyahaneftegaz CJSC) | I. N. Shigapov (TGT Oilfield Services) | A. M. Aslanyan (TGT Oilfield Services) | I. Y. Aslanyan (TGT Oilfield Services) | I. A. Petrova (TGT Oilfield Services)
- Document ID
- Society of Petroleum Engineers
- SPE Russian Petroleum Technology Conference and Exhibition, 24-26 October, Moscow, Russia
- Publication Date
- Document Type
- Conference Paper
- 2016. Society of Petroleum Engineers
- 3 Production and Well Operations, 2.1.3 Completion Equipment, 5.2 Reservoir Fluid Dynamics, 5.2 Fluid Characterization, 3.5 Well Intervention, 5 Reservoir Desciption & Dynamics, 3 Production and Well Operations, 5.6.1 Open hole/cased hole log analysis, 5.2.2 Fluid Modeling, Equations of State, 5.6 Formation Evaluation & Management, 1.6.6 Directional Drilling, 1.6 Drilling Operations
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The pdf file of this paper is in Russian.
A pilot project comprising several closely-spaced wells from one pad was carried out in the green East Messoyakha field for further study of properties in this field. The target zone in this field is the oil rim of a highly stratified reservoir containing a gas cap and an aquifer. The field is developed with a system of horizontal wells with horizontal sections up to 1000 m long. Development of such reservoirs always calls for monitoring inflow zones and inflowing fluid composition for timely prevention of gas and water ingress into the wellbore resulting from coning or lateral breakthroughs through the highly permeable zones and for assessment of the reservoir depletion. Horizontal wells in this field are completed with uncemented liners and packers, which makes the task of reservoir flow analysis even more complicated due to the complexity of flow geometry behind the liner.
Accordingly, logging techniques that have a sufficiently deep radius of investigation to be able to collect the required information about the reservoir, such as spectral noise logging (SNL) and high-precision temperature logging (HPT) were used for profiling inflows from the reservoir into the horizontal wellbore section. The SNL tool captures noise signals produced by reservoir fluid flows and has a radius of investigation up to several metres. Such noise signals have a distinctive frequency signature and can be therefore extracted from the entire noise spectrum recorded in the well. Identification of flowing zones using SNL technique is based on this principle. To quantify inflows from the formation, a temperature log analysis is performed using TermoSimTM software system that can simulate thermal processes in the wellbore, surrounding rocks and flow units, and estimate inflow rates by solving the inverse problem. As the survey was conducted in closely-spaced wells, numerical simulations were run with the same subset of input parameters (such as initial temperature distribution etc), which greatly improved the inflow profile reliability.
As a result of the derived inflow profiles analysis, the sources of water encroachment and high gas content in oil during well operation were identified. The inflow profile correlation analysis applied to a group of closely-spaced wells helped to understand the general principles of reservoir-to-wellbore flow geometry in specific geological environment. Data interpretation results were used for planning well interventions with the purpose of improving the performance of production well. The resulting inflow profiles might be incorporated into the field hydrodynamic model to enhance its predictive ability.
|File Size||5 MB||Number of Pages||16|
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