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PRODML WG 2007 Smart well zonal allocation. PRODML WG 2007 The Problem To run smart wells at its optimum level it must be possible to determine the zonal.

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Presentation on theme: "PRODML WG 2007 Smart well zonal allocation. PRODML WG 2007 The Problem To run smart wells at its optimum level it must be possible to determine the zonal."— Presentation transcript:

1 PRODML WG 2007 Smart well zonal allocation

2 PRODML WG 2007 The Problem To run smart wells at its optimum level it must be possible to determine the zonal reservoir pressure at any time and compare those with the theoretical expected pressure calculated from your well and network models. A comparison of the theoretical value with the actual calculated value is a key performance indicator if the well/reservoir behaved as expected. If not the system needs to be recalibrated.

3 PRODML WG 2007 The Team IP21 by Aspentech is the data historian EnergyComponents by TietoEnator is the production database Prosper by Petroleum Experts is a Well modelling application DECIDE! By Schlumberger is the orchestrator of automated workflows and data consolidation Avocet Production Surveillance by Schlumberger is the visualization tool Avocet - Integrated Asset Modeller (IAM) by Schlumberger is the optimizer and forecaster

4 PRODML WG 2007 The Workflow The integrated asset model will consume historical production and injection data to calculate production and injections targets (forecast). Those targets will be used to in the consolidator to compare the targets to the actually achieved values The measured temperature and pressure at each zone (downhole sensor data available via data historian) will be used to calculate zonal and total rates and to calculate the reservoir pressure per zone The reservoir pressure and rates can be used in an advanced process controller to calculate the optimum choke setting on how to operate the well within the targets and the constraints.

5 PRODML WG 2007 IAM PETEX Prosper/GAP TE EnergyComponents Aspentech IP Set up IAM model 4 Trigger time base every X minutes models 8 8 Determine well type 9 9 Simulate well performance 10 Calculate reservoir pressure per zone 2a2a 2b2b 12 Alarm if targets or constrains are not met 14 b 14 a 14 Trigger an update of the IAM model 5 Poll Data Historian 5a5a 5b5b 2 Historical P&I data are collected 6b6b 6a6a 12 a 12 b 3 Set P&I Targets 3b3b 3a3a Decide! APS 6 Poll well information 7a 7b 7 Pressure per zone, calculate zonal & total rates 11 Calculates choke positions 13 Do the cause analysis 13 Advanced Process Control b 11 a The interactions 4

6 PRODML WG 2007 Setup the IAM model

7 PRODML WG 2007 Set P&I Targets

8 PRODML WG 2007 Create new PRODML connection

9 PRODML WG 2007 Point to TietoEnator’s web service

10 PRODML WG 2007 Define the well(s) to query for

11 PRODML WG 2007 Define the parameter(s) to query for

12 PRODML WG 2007 View resulting query and response

13 PRODML WG 2007 View data that is to be acquired

14 PRODML WG 2007 …and acquire it to DECIDE!

15 PRODML WG 2007 Create new PRODML connection

16 PRODML WG 2007 Point to Aspentech web service

17 PRODML WG 2007 Select the well(s) to query for

18 PRODML WG 2007 Define the parameter(s) to query for

19 PRODML WG 2007 View query template and results

20 PRODML WG 2007 View query template and results

21 PRODML WG 2007 Optionally data cleansing rules to the data

22 PRODML WG 2007 View resulting data that will be acquired

23 PRODML WG 2007 Finish initial data acquisition

24 PRODML WG 2007 This connection can than be automated…

25 PRODML WG 2007 …in a DECIDE! workflow

26 PRODML WG 2007 Sample: New IAM data (5% Increase) New velocity limit Advanced Process Control

27 PRODML WG 2007 The web viewer can visualize the acquired data

28 PRODML WG 2007 and the calculated pressures

29 PRODML WG 2007 Calculated KPI for monitoring the performance

30 PRODML WG 2007 Rerun optimization if performance declines


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