Methodology to estimate key performance indicators in drilling operations through univariant statistical analysis
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Abstract
Key performance indicators play an important role in drilling operations since they facilitate the evaluation of their performance between wells with similar characteristics. Using the information from the wells drilled between 2015 and 2019 in eastern Ecuador, a methodology has been established to estimate key performance indicators by collecting qualitative and quantitative data from the final drilling reports. The present work compiles the information from the final drilling reports of 275 of the 699 wells drilled during the mentioned time interval, to establish standard data and behavior patterns during drilling operations in order to optimize future projects; To apply the methodology, the R Studio program was used, which has the necessary tools for statistical analysis and exploratory data analysis, without the volume of data being a limitation, facilitating the graphic interpretation of the behavior and variability of the data. The results of this research can be used as a reference in the planning of new wells with similar characteristics, as well as in the construction of new key performance indicators.
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References
AAl Qassabi, K., 2019. Rig Performance Analytics The Integrated Approach. Petroleum Development Oman. Recuperado de: https://www.software.slb.com/-/media/software-media-items/software/documents/external/technical-presentations/sis-global-forum-2019/dr/rig-performance-analytics--the-integrated-approach.pdf?la=en&hash=2BAE8332C15D9423E6E513B595C0D9052668DFBD
Damski, C., y El Afifi, S., 2021. The Hard Case for Whole Drilling Optimization. Middle East Drilling Technology Conference and Exhibition, Abu Dhabi, UAE. https://doi.org/10.2118/202188-ms
Delgado, S. y Narváez, A., 2020. Análisis estadístico de indicadores de rendimiento para servicios de perforación en los últimos 5 años en el Ecuador (Tesis de pregrado). Universidad Central del Ecuador. Quito.
Dhote, P., Al-Adwani, T., Al-Bahar, M., Al-Otaibi, A., Chakraborty, S. y Slobodan, S., 2019. KPI Based Standardizing Static Geomodeling Practices for QA and QC of Models. International Petroleum Technology Conference. DOI: https://bvirtual.epn.edu.ec:2069/10.2523/IPTC- 19123-MS
Fernández, H. P., Sugiatmo, K. y Suryo, P., 2020. The Effect of Invisible Lost Time on Drilling Performance of Geothermal Wells. Journal of Earth Energy Science, Engineering, and Technology, volume 3. DOI: http://dx.doi.org/10.25105/jeeset.v3i1.6662
Fierro-Herrera, M., Romero-Chacin, D., Schmidt, A., Erives-Gonzalez, J. L., Dick, H. P., Dorantes-García-Barzanallana, A. E., Amundsen, S., Guedes De Carvalho, R., López, J. C., Escobedo- Flores, M., Basso-Mora, M. A., Kim, A., Hoil-Marrufo, G. y García, H., 2017. Overhauling KPI Drilling Performance Trough RT Operations Integration Center. SPE Latin America and Caribbean Petroleum Engineering Conference, Buenos Aires, Argentina. https://doi.org/10.2118/185528-ms
Gómez, J., 2018. KPI: ¿Cómo Medir la Productividad en Perforación?. Recuperado de https://perforador20.wordpress.com/2018/07/07/kpi-como-medir-la-productividad-en-perforacion/
Gutiérrez, D., Cornwall, R. C., Nuimi, S. M., Tripathi, D. T., Hidalgo, M. H., Alkuwaiti, H., Soni, S., y Isambertt, J., 2019. True Well Performance Validation Using Management by Exception and Data Analytics to Improve Well Test Validation KPI. SPE Kuwait Oild & Gas Conference and Show, Mishref, Kuwait. https://doi.org/10.2118/198052-ms
Handoko, A. I., Khella, H. E., Couzigou, E. y Al-Marzouqi, A. A., 2021. Enhancing the Drilling Performance Management on a Large Drilling Operation. Middle East Drilling Technology Conference and Exhibition, Abu Dhabi, UAE. https://doi.org/10.2118/202156-ms
Mohammed, S., Persad, D., y Baksh, K., 2021. Development and Execution of Heritage Petroleum Company Limited’s First Offshore Workover Campaign - A Case History of Successful Implementation of Performance Management. SPE Trinidad and Tobago Section Energy Resources, Trinidad y Tobago. https://doi.org/10.2118/200959-ms
Rashid, F., al Saadi, H. M., Duivala, S. Y., Butt, S., al Mansoori, S. y Mughal, M. I., 2021. Accurate Drilling Data Interpretations Brought Significant Values to a Major Drilling Project. Middle East Drilling Technology Conference and Exhibition, Abu Dhabi, UAE. https://doi.org/10.2118/202073-ms
Rubanu, A., Cerri, P., Ciccorossi, P., Bianco, A. y Masi, S., 2017. Field Application of Key Performance Indicators for Digital Oilfield to Monitor and Predict Process Upsets. Offshore Mediterranean Conference and Exhibition, Ravenna, Italy.
Suryadi, H. (2021, junio). A Novel Approach to Drilling Engineering Sensitivity Analysis and Visualization. IADC/SPE Asia Pacific Drilling Technology Conference. https://doi.org/10.2118/201072-ms
Yunus, M. N. y Tarmizi, M. F., 2020. Drilling Minimum Standard as Regulatory Benchmarking for Drilling Performance in Malaysia. Offshore Technology Conference Asia, Kuala Lumpur, Malasia. https://doi.org/10.4043/30384-ms
Zhang, H., Lu, B., Yang, S., Ke, K., Song, J., Hou, X., Wang, Z., y Jin, X., 2020. A Global Drilling KPIs Analysis System Based on Modern Data Science Techniques. Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE. https://doi.org/10.2118/203378-ms