Disruptive Clamp-On Technology Tested for Mud Measurement
- Kenneth Olsvik (XSENS AS) | Morten Hansen Jondahl (USN) | Kjell Rune Toftevåg (XSENS AS) | Remi Kippersund (XSENS AS) | Geir Elseth (Equinor AS) | Ivar Kjøsnes (Equinor AS)
- Document ID
- Society of Petroleum Engineers
- SPE Norway One Day Seminar, 14 May, Bergen, Norway
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- 1.6 Drilling Operations, 1.7 Pressure Management, 1.11 Drilling Fluids and Materials, 7.2.1 Risk, Uncertainty and Risk Assessment, 1.7.5 Well Control, 7 Management and Information, 3 Production and Well Operations, 7.2 Risk Management and Decision-Making, 6.5.5 Oil and Chemical Spills
- flow meter, Measurement, Mud, Clampon, Mud meter
- 35 in the last 30 days
- 35 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
During drilling operations, it is of vital importance to have accurate and reliable volume control, with as fast as possible detection of flow abnormalities. The earlier a flow abnormality is detected; the faster actions can be taken to minimize the consequence and cost of a potential well control incident. Accurate and reliable measurements of the inflow of mud and return flow is key to improvements in volume control and early kick detection. Uncertainty and time delay in these measurements may lead to well control incidents such as uncontrolled fracturing, collapse of wells, influx and, in worst case, external spill of oil and gas to the surface.
Existing inline traditional meters experience challenges due to clogging of measurement ports, mechanical erosion or damages on gaskets. Such being caused by the nature of mud consisting of a mixture of heavy materials and cuttings from the formation. Most of them are also not able to give quantified measurements, relying on human interpretation of trends in the data.
Using Clamp-on flow meters for mud measurement would significantly reduce cost, risk and maintenance work if it could generate accurate and reliable measurements. However, due to its nature, drilling mud is a difficult medium to measure and several other technologies have come short trying to do so, including previous ultrasonic measurement techniques.
This non-invasive ultrasound transmission concept, enables off-center beam transmission, forming the functionality of a multi-beam inline acoustic flow meter. The patented technology achieves this through disruptive acoustic guided wave transmission technology where the pipe wall is used as an advanced transmitting gateway between sensors, and helical shaped transducers enables measurements off-center signal transmission creating shorter paths than traditional clamp-on Meters in addition to traditional axial signal transmission. Combining these features enables measurements also through mud.
This paper will present the theory behind the technology, technology advantages and potential, as well as flow test results from mud flow loop at a Mud loop testing facility in Norway performed in September 2018 where the Meter was subjected to detecting incremental changes in flow rate of mud at different flow rates.
|File Size||1 MB||Number of Pages||12|
Chhantyal, K., Jondahl, M.N., Viumdal, H., Mylvaganam, S., 2018. Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels. IEEE Sens. J. 18, 5002–5013. https://doi.org/10.1109/JSEN.2018.2831445
Godley, A., 2002. Flow measurement in partially filled closed conduits. Flow Meas. Instrum. 13, 197–201. https://doi.org/10.1016/50955-5986(02)00050-X
Holta, H., Anfinsen, H., Aamo, O.M., 2018. Improved Kick and Loss Detection and Attenuation in Managed Pressure Drilling by Utilizing Wired Drill Pipe. IFAC-Pap., 3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018 51, 44–49. https://doi.org/10.1016/j.ifaco1.2018.06.353
Hu, L., Qin, L., Mao, K., Chen, W., Fu, X., 2016. Optimization of Neural Network by Genetic Algorithm for Flowrate Determination in Multipath Ultrasonic Gas Flowmeter. IEEE Sens. J. 16, 1158–1167. https://doi.org/10.1109/JSEN.2015.2501427
Jinasena, A., Ghaderi, A., Sharma, R., 2018. Modeling and Analysis of Fluid Flow through A Non-Prismatic Open Channel with Application to Drilling. Model. Identif. Control Nor. Res. Bull. 39, 261–272. https://doi.org/10.4173/mic.2018.4.3
Jondahl, M.N., Viumdal, H., 2018. Estimating Rheological Properties of Non-Newtonian Drilling Fluids using Ultrasonic-Through-Transmission combined with Machine Learning Methods, in: 2018 IEEE International Ultrasonics Symposium (IUS). Presented at the 2018 IEEE International Ultrasonics Symposium (IUS), pp. 1–4.
Lynnworth, L.C., Liu, Y., 2006. Ultrasonic flowmeters: Half-century progress report, 1955-2005. Ultrasonics, Proceedings of Ultrasonics International (UI'05) and World Congress on Ultrasonics (WCU) 44, e1371-e1378. https://doi.org/10.1016/j.ultras.2006.05.046
Pirir, I., Jinasena, A., Sharma, R., 2018. A dynamic model for drain back to active mud pit combined with a well model during drilling. J. Pet. Sci. Eng. 167, 803–818. https://doi.org/10.1016/j.petro1.2018.04.057
Podio, A.L., Gregory, R.L., 1990. Ultrasonic Velocity and Attenuation Measurements in Water-Based Drilling Muds, in: Drilling Technology Symposium 1990: Presented at the Thirteenth Annual Energy-Sources Technology Conference and Exhibition, New Orleans, Louisiana, January 14-18, 1990. American Society of Mechanical Engineers, New York, N.Y.
Schafer, D.M., Loeppke, G.E., Glowka, D.A., Scott, D.D., Wright, E.K., 1992. An Evaluation of Flowmeters for the Detection of Kicks and Lost Circulation During Drilling. Presented at the SPE/IADC Drilling Conference, 18-21 February, Society of Petroleum Engineers, SPE. https://doi.org/10.2118/23935-MS
Yang, S., Liang, G., Zhao, W., Xie, D., Huang, Z., 2009. Design of low-power consumption ultrasonicopen channel flow meter, in: 2009 9th International Conference on Electronic Measurement Instruments. Presented at the 2009 9th International Conference on Electronic Measurement Instruments, pp. 1-999–1-1002. https://doi.org/10.1109/ICEMI.2009.5274535
Zhao, H., Peng, L., Takahashi, T., Hayashi, T., Shimizu, K., Yamamoto, T., 2014. ANN Based Data Integration for Multi-Path Ultrasonic Flowmeter. IEEE Sens. J. 14, 362–370. https://doi.org/10.1109/JSEN.2013.2282466