21 years of independent, top-class operations state detection, data quality control and performance measurement for over 50,000 wells, providing 1000’s of Key Performance Indicators to empower customers to outperform.
Know your rig, crew and fleet performance with comprehensive visualisations, analytics, and benchmarking to detect potential savings.
tde’s dedicated engineering team utilize their expertise to detect potential performance improvements by identifying NPT, ILT and FT and deliver performance gap analysis reports to increase rig efficiency.Learn how proNova was selected from 7 industry vendors to process 20,000 days of data in just 59 days.
Become a champion with these 3 simple steps to improve performance and reduce well construction costs for you and your team.
1. Contact our tde sales team for a demo
We help our clients to extract the most out of their operations and their team.
Empowering users by having the right information at their fingertips to assemble the bigger picture to make educated decisions while minimizing risk, environmental impact and maximizing safety.
2. proNova reports your rig performance
proNova processes your rig operations raw data with the highest quality of data control, monitoring, and analysis.
Compare and track performance gains and operational consistencies for proven ROI while evaluating your rig performance, quantifying improvements, and capturing learnings.
3. Stay competitive – keep costs down
Our team of engineering experts are available additionally to empower you to detect inefficiencies, set benchmarks, and identify savings potential to take action. and improve your performance.
Empowering you and your team to outperform...
contact us to become a drilling champion.
“Our exceptional development partnership with Noble Drilling to harness nano-KPIs, global equipment data to deliver insights and drive consistency”
Bernardo Braunstein, Noble Drilling; John Rigg, TDE Digital (2022): Noble harnesses nano-KPIs, global equipment data to deliver insights, drive consistency. This was presented at the IADC ART Conference & Exhibition held in Austin, Texas on 30 - 31 August 2022. Available at: link to paper
“… savings through improvements in operational performance. In the first 12 months € 16 million in savings were attributed to InWell. By 2022 forecast savings are expected to exceed € 60 million.”
John McIntosh, GirlingMcIntosh; Renata Martin, Repsol; Pedro Alcala, Boston Consulting Group; Stian Skjævesland, Kongsberg Digital; John Rigg, TDE (2021): Implementation of a Digital Roadmap with Best-in-Class Applications. This paper was prepared for presentation at the SPE Offshore Europe Conference & Exhibition held virtually on 7 - 10 September 2021. [online] Available at: link to paper
“… Aker BP and proNova have been working together to help deliver best in world class well delivery. proNova is a fantastic tool that enables us to make every minute count to identify and remove waste from the operations and help our fleet become the best of the best.”
Lead Drilling Engineer, Aker BP, December 2020.
Read more: link to Aker BP use case
“… the first crew performed a "Weight to Weight" operation with a value of 80.3 minutes directly before the shift changing. The second crew was able to perform the same operation in the first hour after the shift change in less than 20 minutes.”
Azlan Mohamad, TDE International Limited; Wan Helmi Wan Hassan, Raihana Radzlan, Petronas Carigali Sdn Bhd (2018): Dare to Change: PETRONAS New Approach to Implement Artificial Intelligence of Wells Activity Performance and Benchmarking Tool. This paper was presented at the Abu Dhabi International Petroleum Exhibition & Conference in Abu Dhabi, UAE, 12-15 Nov 2018. [online] Available at: link to paper
“…an improvement of “Weight to Weight” times between 45% and respectively 25% was achieved for two rigs, which reflects an actual saving up to 7% of the total well delivery time.”
A. Al Sulti, Y. Al-Aufi, MEDCO Energi; A. Arnaout, S. Bakhti, TDE International Limited; G. Thonhauser, Montanuniversitaet Leoben (2018): The Impact of Digital Transformation on Cutting Drilling Costs - A Case Study from Oman. This paper was presented at the Abu Dhabi International Petroleum Exhibition & Conference in Abu Dhabi, UAE, 12-15 Nov 2018. [online] Available at: link to paper
"... focuses on the Weight to Weight connection time during drilling operations... Efforts resulted in savings of more than 11.75 days on a single pad of nine wells drilled by the same rig and a 45% improvement in overall non-drilling time."
Duffy, W., Statoil; Rigg, J. and Maidla, E., TDE Petroleum Data Solutions, Inc., 2017. SPE-184724-MS Efficiency Improvement in the Bakken Realized Through Drilling Data Processing Automation and the Recognition and Standardization of Best Safe Practices. In: SPE International Society (Society of Petroleum Engineers), SPE/IADC Drilling Conference and Exhibition. The Hague, The Netherlands, 14–16 March 2017. [online] Available at: Link to paper
"The results revealed a savings potential of up to 30% of the total rig move time per monitored move."
Arnaout, A., Heber, M., Wolf-Zoellner, P., TDE Group GmbH; Thonhauser, G., University of Leoben, Austria, 2017. A New Method for Rig Move Optimization – Case Study on Moving Land Rigs. In: OIL GAS European Magazine, March 2017, p. 28.
"… weight to weight connection time of an entire fleet of rigs (23 rigs) that reduced in 19% from 2012 to 2014 through the elimination of unnecessary reaming (that wasn’t clearly measured before this effort) … ... actual total savings considering several KPIs of about 350 offshore rig days that translates in more than ¼ of a billion dollars."
Gabriel L. de Oliveira, Cristiano A. C. Zank, André F. de S. Costa, Henrique M. Mendes, Luiz F. Henriques, Márcio R. Mocelin Jr., Jorcy de Oliveira Neto, Petrobras, 2016. IADC/SPE-178775-MS Offshore Drilling Improvement Through Automating the Rig State Detection Process - Implementation Process History and Proven Success. In: SPE International (Society of Petroleum Engineers), IADC/SPE Drilling Conference and Exhibition. Fort Worth, Texas, USA, 1–3 March 2016. Available at: link to paper
"During the past 2 ½ years, the Statoil US Onshore Eagle Ford drilling team successfully drilled more than 100 wells … an overall improvement of 52% in drilling time and 45% in drilling cost was achieved.”
Claudio J. Coletta (Statoil), Camilo Arias (Statoil), Scott Mendenhall (Statoil). SPE-178897-MS Drilling Improvements in Pursuit of the Perfect Well in the Eagle Ford - More than 52% Reduction in Drilling Time and 45% in Cost in Two and a Half Years. In: SPE International (Society of Petroleum Engineers), IADC/SPE Drilling Conference and Exhibition, 1-3 March, Fort Worth, Texas, USA, 2016 [Online] onepetro.org. Available at: link to paper
"[well] time was reduced by five days, which equates to approximately $ 5.25 million, compared to the same month last year."
Petrobras, 2014. Technology Petrobras 2013. [Online] Petrobras. Available at: link to Technology Petrobras 2013
Abu Dhabi Marine Operating Co
"This study has shown a potential performance improvement of 29.35% for only 5 KPIs."
El Afifi, S. Albassam, B., TDE International Ltd; Atef Fahmy, F., Abu Dhabi Marine Operating Co, 2015. SPE-176786-MS Enhance the Drilling & Tripping Performance on Automated Rigs with fully automated performance measurement. In: SPE International (Society of Petroleum Engineers), SPE Middle East Intelligent Oil & Gas Conference & Exhibition. Abu Dhabi, UAE, 15-16 September 2015. [online] Available at: link to paper
"Measurement accuracy, training, and the development of new work processes were successfully implemented that led to major KPI (Key Performance Indicator) time savings between 31% and 43%."
Maidla, E., Maidla, W., TDE Petroleum Data Solutions Inc. 2010. SPE 138804 Rigorous Drilling Non-productive Time Determination and Elimination of Invisible Lost Time: Theory and Case Histories. In: SPE International (Society of Petroleum Engineers), SPE Latin American & Caribbean Petroleum Engineering Conference. Lima, Peru, 1–3 December 2010. [online] Available at: link to paper
StatoilHydro, Nexen Data Solutions Inc.
"… results show a performance improvement of 30%. There are potential time savings of between 40 to 60% in some individual drilling tasks such as slip to slip connection times and weight to weight connection times... …Optimizing a number of identified KPIs for drilling, including tripping and casing running times, shows a potential saving of between 8 to 15% of the total well construction time."
Andersen, S., Arild Sjøwall, P., StatoilHydro; Maidla, E., King B., Nexen Data Solutions Inc.; Thonhauser, G. Zöllner, P., TDE Thonhauser Data Engineering GmbH, 2009. SPE/IADC 119746 Case History: Automated Drilling Performance Measurement of Crews and Drilling Equipment. In: SPE International Society (Society of Petroleum Engineers), SPE/IADC Drilling Conference and Exhibition. Amsterdam. The Netherlands, 17–19 March 2009. [online] Available at: link to paper
"ARAD analysis is seen as a significant and exciting new enabler to drive drilling performance improvement, given that ILT represents on the order of 30% of well delivery time and cost on most drilling operations."
Van Oort, E., Taylor, Edward C., Shell; Thonhauser, G., Maidla, E.; Thonhauser GmbH, 2008. Real-time rig-activity detection helps identify and minimize invisible lost time. World Oil, [online] Available at: link to article
In one specific analysis the connection times of 12 wells drilled by 3 different rigs were compared. More than 200,000 single connections were analysed…:
"The saving potential if it would be possible to reach average performance where above average performance was in the order of $10 million, nearly one million per well."
Thonhauser, G., University of Leoben; Mathis, W., TDE Thonhauser Data Engineering GmbH, 2006. SPE 103211: Automated Reporting Using Rig Sensor Data Enables Superior Drilling Project Management. In: SPE International Society (Society of Petroleum Engineers), 2006 SPE Annual Technical Conference and Exhibition. San Antonio, Texas, U.S.A., 24–27 September 2006. [online] Available at: link to paper
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