Identifying trends of operational time for improved performance studies/software/16-iqx-055... ·...
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Figure 1 Figure 2 Figure 1 displays 20,000 non-standardised activity dots displaying operational activity data registered in 36 wells at a certain depth point - through automatisation, TIME recognises similar recorded activities by grouping them and enabling the software user to spend time on analysing results rather than decoding and manually transferring data. The case project in question used ”Flat Spot” analysis to unlock low productivity. Figure 2 shows the time spent on 36 wells during ”flat spot” phase (injection of production casing) on four drilling units. In Figure 3 overleaf it can be seen that all units used similar amount of time on drilling (highlighted with violet).. Scrutinising deeper into the activity report it can be concluded that the difference in operational time is caused by RCOH (the violet colour in Figure 2 highlighting running casing in open hole). The difference can have been a result of poor cleaning of the hole or incorrect mud parametres were secured prior to running the casing. Copyright© 2016 AGR All rights reserved. 16-iQx-55 Identifying trends of operational time for improved performance THE CHALLENGE The quest for oil and gas companies to gain greater insight and control over their Drilling and Well Operations is never ending. Mistakenly it is often concluded that by improving the operational time, the efficiency and cost will also be reduced. Wells are different and comparing the operational performance at a certain point of time one by one may not enclose the actual time thieves. Since the NPT reporting may vary between teams and companies, the time data does not give completely accurate overview in this case either. So how to identify the long-term trends of operational activity and improve performance efficiency? THE SOLUTION TIME module in AGR’s iQx™ software platform uses up-to-the-minute data from the user’s daily drilling report system and historic activity reports, enabling oil and gas companies to accurately benchmark operational activity against both their own previous projects as well as third party activity. The data in iQx™ is automatically synchronised with all industry recognised drilling reporting systems and publicly available data enabling to highlight the inefficiencies and opportunities for cost and efficiency improvement. AGR Karenslyst allé 4 0278 Oslo Norway E: [email protected] www.agr.com
Transcript of Identifying trends of operational time for improved performance studies/software/16-iqx-055... ·...
Figure 1
Figure 2
Figure 1 displays 20,000 non-standardised activity dots displaying operational activity data registered in 36 wells at a certain depth point - through automatisation, TIME recognises similar recorded activities by grouping them and enabling the software user to spend time on analysing results rather than decoding and manually transferring data.
The case project in question used ”Flat Spot” analysis to unlock low productivity. Figure 2 shows the time spent on 36 wells during ”flat spot” phase (injection of production casing) on four drilling units. In Figure 3 overleaf it can be seen that all units used similar amount of time on drilling (highlighted with violet)..
Scrutinising deeper into the activity report it can be concluded that the difference in operational time is caused by RCOH (the violet colour in Figure 2 highlighting running casing in open hole). The difference can have been a result of poor cleaning of the hole or incorrect mud parametres were secured prior to running the casing.
Copyright© 2016 AGR
All rights reserved. 16-iQx-55
Identifying trends of operational time for improved performance
THE CHALLENGE
The quest for oil and gas companies to gain greater insight and control over their Drilling and Well Operations is never ending. Mistakenly it is often concluded that by improving the operational time, the efficiency and cost will also be reduced.
Wells are different and comparing the operational performance at a certain point of time one by one may not enclose the actual time thieves. Since the NPT reporting may vary between teams and companies, the time data does not give completely accurate overview in this case either.
So how to identify the long-term trends of operational activity and improve performance efficiency?
THE SOLUTION
TIME module in AGR’s iQx™ software platform uses up-to-the-minute data from the user’s daily drilling report system and historic activity reports, enabling oil and gas companies to accurately benchmark operational activity against both their own previous projects as well as third party activity.
The data in iQx™ is automatically synchronised with all industry recognised drilling reporting systems and publicly available data enabling to highlight the inefficiencies and opportunities for cost and efficiency improvement.
AGR Karenslyst allé 40278 OsloNorway
www.agr.com
Copyright© 2016 AGR
All rights reserved. 16-iQx-055
ADDED VALUE
Since iQx™ TIME has the functionality to visualise data saved in any format, the engineers save a lot of time normally spent on manual data search and processing. Additionally, the human error factor is practically eliminated, which leads to a higher and more consistent level of quality in the engineering.
iQx™ TIME enables quick generation of time/KPI data improving the efficiency optimisation.
Key benefits of iQx™ TIME:
• Access high quality data for improved performance and reduced costs
• Visualise data in any format and identify long-term trends
• Minimise human error during reporting and data inputting
• Easily generate time/KPI data
• Search and get greater insight of specific operational timings and data across multiple wellbores
• Database for regular Management overview for improved optimisation focus
The TIME module has been developed in partnership with current software users including Lundin, AKER BP, VNG, OMV, and LUKOIL Overseas.
Identifying trends of operational time for improved performance
Figure 3
