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多孔介质期刊
影响因子: 1.752 5年影响因子: 1.487 SJR: 0.43 SNIP: 0.762 CiteScore™: 2.3

ISSN 打印: 1091-028X
ISSN 在线: 1934-0508

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多孔介质期刊

DOI: 10.1615/JPorMedia.2019026004
pages 1289-1303

CONTROLLING DOWNHOLE MUD LOSS USING PREDICTIVE DATA ANALYTICS

Abo Taleb T. Al-Hameedi
Missouri University of Science and Technology, 1201 N State St., Rolla, MO 65409, USA
Husam H. Alkinani
Missouri University of Science and Technology, 1201 N State St., Rolla, MO 65409, USA
Shari Dunn-Norman
Missouri University of Science and Technology, 1201 N State St., Rolla, MO 65409, USA
Steven A. Hilgedick
Missouri University of Science and Technology, 1201 N State St., Rolla, MO 65409, USA
Mustafa A. Al-Alwani
Missouri University of Science and Technology, 1201 N State St., Rolla, MO 65409, USA

ABSTRACT

Fluid losses during drilling lead to greater expenses from mud loss, difficulty in well control and zonal isolation, and non-productive time (NPT). In this paper, the impacts of each drilling parameter have been studied to understand the significance of each parameter. Hence, a new approach to model volume loss has been developed that is highly effective in lost circulation control in Basra's oil fields. Accurate prediction of volume loss is very important to avoid associated drilling problems such as NPT, cost, formation fracture, fluid influx, kicks, and even blowouts. To date, there is no analytical model to predict the volume loss prior to drilling as a proactive action. The models provide a prediction for mud loss ranging from partial to complete loss in the Dammam Formation. This work presents a new multiple linear regression modeling of volume loss, which makes accurate predictions (maximum error of − 3%) for a wide range of mud losses. Lost circulation events for more than 300 wells drilled in Basra's oil fields (e.g., South Rumaila, North Rumaila, Zubair, Nahur Umar, and Luhais fields) were accurately identified through summarizing daily drilling reports (DDR), final well reports, and technical reports. Critical drilling parameters such as mud weight (MW), equivalent circulation density (ECD), yield point (Yp), plastic viscosity (PV), rate of penetration (ROP), strokes per minute (SPM), revolutions per minute (RPM), weight on bit (WOB), and bit nozzles were recorded at the time of each mud loss event, and the severity of the mud loss event, depth, and result of any mitigation attempts were also noted. To develop the multiple linear regression models, a huge body of real field data was formulated, and an extensive statistical study was performed. The results were analyzed to formulate a simplified multiple linear regression model that predicts the volume loss conveniently for the thief formation without requiring iterative calculation procedures. The approach has been developed based on analyzing actual mud loss events while drilling this formation, to develop key statistical models for ROP, ECD, and mud losses. These models are then tested with other new wells' data to check their validity and to demonstrate how the models can be used to set key drilling parameters in Basra's oil fields. Finally, this approach that was developed in this study can be used globally if the formation is naturally fractured and has the same characteristics as the Dammam Formation.

REFERENCES

  1. Al-Hameedi, A.T., Alkinani, H.H., Dunn-Norman, S., Flori, R.E., Hilgedick, S.A., and Amer, A.S., Limiting Key Drilling Parameters to Avoid or Mitigate Mud Losses in the Hartha Formation, Rumaila Field, Iraq, J. Petrol. Environ. Biotechnol., vol. 8, no. 5, pp. 345-351,2017a.

  2. Al-Hameedi, A.T., Dunn-Norman, S., Alkinani, H.H., Flori, R.E., and Hilgedick, S.A., Limiting Drilling Parameters to Control Mud Losses in the Dammam Formation, South Rumaila Field, Iraq, in 51st US Rock Mechanics/Geomechanics Symposium, San Francisco, CA, June 25-28,2017b.

  3. Al-Hameedi, A.T., Dunn-Norman, S., Alkinani, H.H., Flori, R.E., and Hilgedick, S.A., Limiting Drilling Parameters to Control Mud Losses in the Shuaiba Formation, South Rumaila Field, Iraq, in AADE National Technical Conf. and Exhibition, Houston, Texas, April 11-12, 2017c.

  4. Al-Hameedi, A.T., Dunn-Norman, S., Alkinani, H.H., Flori, R.E., Hilgedick, S.A., and Torgashov, E.V., Best Practices in Managing Lost Circulation Events in Shuaiba Formation, South Rumaila Field, Iraq in Terms Preventive Measures, Corrective Methods, and Economic Evaluation Analysis, SPE Russian Petroleum Technology Conf, Moscow, Russia, October 16-18, 2017d.

  5. Al-Hameedi, A.T., Dunn-Norman, S., Alkinani, H.H., Flori, R.E., Torgashov, E.V., Hilgedick, S.A., and Almohammedawi, M.M., Preventing, Mitigating, or Stopping Lost Circulation in Dammam Formation, South Rumaila Field, Iraq; Requires Engineering Solutions, the Best Treatments Strategies, and Economic Evaluation Analysis, in SPE/IATMI Asia Pacific Oil and Gas Conf. and Exhibition, Jakarta, Indonesia, October 17-19,2017e.

  6. Al-Hameedi, A.T., Alkinani, H.H., Dunn-Norman, S., Flori, R.E., and Hilgedick, S.A., Insights into Mud Losses Mitigation in the Rumaila Field, Iraq, J. Petrol. Environ. Biotechnol., vol. 9, no. 1, pp. 356-365,2018.

  7. Alkinani, H.H., Al-Hameedi, A.T., Flori, R.E., Dunn-Norman, S., Hilgedick, S.A., and Alsaba, M.T., Updated Classification of Lost Circulation Treatments and Materials with an Integrated Analysis and their Applications, in SPE Western Regional Meeting, Garden Grove, CA, April 22-26, 2018a.

  8. Alkinani, H.H., Al-Hameedi, A.T., Flori, R.E., Dunn-Norman, S., Hilgedick, S.A., Amer, A.S., and Alsaba, M.T., A Comprehensive Analysis of Lost Circulation Materials and Treatments with Applications in Basra's Oil Fields, Iraq: Guidelines and Recommendations, in AADE Fluids Technical Conf, Houston, TX, April 10-11, 2018b.

  9. Alkinani, H.H., Al-Hameedi, A.T., Dunn-Norman, S., Flori, R.E., Alsaba, M.T., Amer, A.S., and Hilgedick, S.A., Using Data Mining to Stop or Mitigate Lost Circulation, J. Petrol. Sci. Eng., vol. 173, pp. 1097-1108, 2019.

  10. Arshad, U., Jain, B., Ramzan, M., Alward, W., Diaz, L., Hasan, I., and Riji, C., Engineered Solution to Reduce the Impact of Lost Circulation during Drilling and Cementing in Rumaila Field, Iraq, in Int. Petroleum Technology Conf, Doha, Qatar, December 6-9,2015.

  11. Basra Oil Company, Various Daily Reports, Final Reports, and Tests for 2011, 2012, Several Drilled Wells, South Rumaila Field, Basra, Iraq.

  12. Darley, H.C. and Gray, G.R., Composition and Properties of Drilling and Completion Fluids, 7th ed., Houston, TX: Gulf Professional Publishing, 2017.

  13. James, G., Witten, D., Hastie, T., and Tibshirani, R., An Introduction to Statistical Learning: With Applications in R, Berlin: Springer, 2013.

  14. Montgomery, D.C., Peck, E.A., and Vining, G.G., Introduction to Linear Regression Analysis, 3rd ed., Hoboken, NJ: Wiley, 2001.

  15. Moore, P.L., Drilling Practices Manual, 2nd ed., Tulsa, OK: Penn Well Publishing Company, 1986.

  16. Messenger, J., Lost Circulation, Tulsa, OK: Penn Well Publishing, 1981.

  17. Nayberg, T.M. and Petty, B.R., Laboratory Study of Lost Circulation Materials for Use in Oil-Base Drilling Muds, in Deep Drilling and Production Symposium, Amarillo, TX, April 6-8, 1986.

  18. Osisanya, S., Course Notes on Drilling and Production Laboratory, Norman, OK: Mewbourne School of Petroleum and Geological Engineering, University of Oklahoma, 2002.

  19. Tuffery, S., Data Mining and Statistics for Decision Making, Hoboken, NJ: Wiley, 2011.

  20. Transparency Market Research, Drilling Fluids Market (Oil-Based Fluids, Synthetic-Based Fluids and Water-Based Fluids) for Oil and Gas (Offshore and Onshore)-Global Industry Analysis, Size Share, Growth, Trends and Forecast, accessed August 27, 2015, from http://www.transparencymarketresearch.com/drillingfluid-market.html, 2013.

  21. Weisberg, S., Applied Linear Regression, 3rd ed., Hoboken, NJ: Wiley, 2005.

  22. Yan, X. and Su, X.G., Linear Regression Analysis: Theory and Computing, Singapore: World Scientific, 2009.


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