| Autor: |
D. Kyrnaev, A. Rybalko, A. Kozhin, V.V. Fomin, M. Guletzskiy, Valeriy Karpov, A. Klemba, I. Batilov, A. Amirov, K. Ratanov, D. Sleptsov, A. Maslanov |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Day 3 Thu, March 22, 2018. |
| Popis: |
In introduction, will be given the short history of maturity field from 1976 year, main challenges, road map of implementing Smart Field (SF), current raediness. The main difficulties of implementing SF are depended on two factors: 1) Accuracy of tuning the components of integrated asset model-reservoir, wells and gathering networks by utilizing real-time data from SCADA systems, 2) Accuracy of execution the plan of injection and production at a field by field staff, subcontractors. This paper is focused on the two very crucial workflows which are helped to connect the integrated asset model with reality and increase helpful of usage model based approach: 1) real-time data preparation for executing the well model matching procedure and 2) maintaining operational regime for production and injection wells which is calculated by integrated asset model. Each workflow is organized as a sequence of steps which can be executed manually especially for the very complex well behavior or in an automated mode in simple case. The novelty of that experience includes the usage schemes and principals for mentioned routines: 1) special order of preparing data for further matching procedure of well/net/reservoir models, and readiness additional sets of transient data for further interpretation procedures 2) controlling execution process of maintaining the operational parameters at a field, generating some complex indicators show what to need to adjust models, measurement devices or submersible equipments. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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