Early detection enhancement of the kick and near-balance drilling using mud logging warning sign

Ahmed, Mohammed A.; Hegab, Omar A.; Sabry, Ahmed

doi:10.1016/j.ejbas.2015.09.006

Cited by 17 publications

(8 citation statements)

References 7 publications

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“…Hence, there is a need for human interpretation to continuously analyse and monitor the logged data for decisive actions against the unwanted conditions. (Anfinsen and Rommetveit, 1992;Ahmed, Hegab, and Sabry, 2016)…”

Section: Mud Log Data Methodsmentioning

confidence: 99%

Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels

et al. 2018

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This thesis is submitted to University of SouthEastern Norway (USN) for the degree of Doctor of Philosophy to the Department of Electrical Engineering, Information Technology, and Cybernetics under the Faculty of Technology, Natural Sciences, and Maritime Sciences. The research work is funded by the Ministry of Education and Research of the Norwegian Government, for four years with 25% teaching duties and starting from September 2014. The work is mainly related to flow measurement in the return line of drilling fluid circulation while drilling. In any drilling operations, wellbore stability is the primary objective for safe and efficient drilling. The study focuses on the usage of the delta flow measurement (i.e., the difference between inflow and return flow) for maintaining the wellbore stability. An accurate return flow measurement is a comparatively challenging task, which is investigated in this study. For the return flow measurement, a simple and accurate flow measurement system using Venturi constriction is presented that may replace an existing uniform open channel. For the study, three different types of existing flow models are investigated. Different machine learning based flow models are developed. The models are tested in a flow loop available at USN, Campus Porsgrunn using synthetic drilling fluids with rheological properties that are comparable with water-based drilling mud. The experimental results show that the models are applicable for non-Newtonian fluid flow measurements. I hope the models will be of use in the real drilling operations for both inflow and outflow measurements. vii Acknowledgement I would like to express my sincere gratitude towards my supervisor Saba Mylvaganam for his help and support in this work. I would also like to thank my cosupervisor Håkon Viumdal for his valuable contribution. We three together as a team has successfully managed to complete this work in time. My sincere thanks also go to my co-supervisor Gerhard Nygaard for sharing his expert knowledge on drilling operations during the early period of the work. I am grateful to the University of SouthEastern Norway and the Ministry of Education and Research of the Norwegian Government for funding the work. I would like to thank Equinor ASA for providing and commissioning the flow loop with various types of sensors and control systems dedicated to flow studies. The economic support from the Research Council of Norway and Equinor ASA through project no. 255348/E30 "Sensors and models for improved kick/loss detection in drilling (Semi-kidd)" is gratefully acknowledged. I greatly appreciate and acknowledge the expert advice on drilling operations by Dr. Geir Elseth of Equinor. I thank my colleagues and friends; Rajan

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Section: Mud Log Data Methodsmentioning

confidence: 99%

Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels

et al. 2018

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“…psi (Ahmed, Hegab, & Sabry, 2016). In other instances, apparent positive flow-checks were related to ballooning formations, where fluid was stored in natural fractures or a slight deformation of the borehole and was returned by rock elasticity when the mud pumps were turned off.…”

Section: Kick Detection System and Kick Indicatorsmentioning

confidence: 99%

“…It should be noted that an increase in background gas over time may indicate an increase in pore pressure or the penetration of a reservoir, whereas connection gas (detected once bottoms up is circulated after a Drill Pipe connection) and pump-off gas readings (when the pumps are off and the ECD is equal to the static MW, allowing influx to enter the borehole in case the well is in a nearbalance condition) indicate underbalance or near-balance conditions (Ahmed et al, 2016) The indicators can be divided between instantaneous and lagged, as during a condition of slight underbalance.…”

Section: Kick Detection System and Kick Indicatorsmentioning

confidence: 99%

Offshore drilling blowout risk model – an integration of basic causes, safety barriers, risk influencing factors and operational performance indicators

Perez

Dalu

Gómez

et al. 2018

Safety and Reliability

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Offshore drilling is an activity inherent to the oil and gas industry as it is essential for confirming the economic feasibility of hydrocarbon reservoirs. However, operational uncertainties and risks inherent to typical major accident hazards are associated with the performance of this activity, where blowouts are assumed to be one of the major contributors to risk in offshore drilling. This paper presents an accident precursor risk model for offshore drilling blowouts that integrates the blowout basic causes, safety critical barriers & elements, Risk Influencing Factors (RIF) including Human and Organizational Factors (HOF), and Operational Performance Indicators (OPI). The method, which was adopted to design the model and allow its customization for reflecting the characteristics of any drilling rig, well and operation is also described and demonstrated using a theoretical example. The model is hybrid, as it combines bow-tie diagram (fault tree and event tree) with directed acyclic graphs (DAG), to account for the effect of the RIF on the performance of safety barriers through the direct observation of pre-defined OPI.

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“…According to the experimental measurement result, the spread speed of 64 K ultrasonic in drilling mud with a density of 1:1 g=cm 3 is 1380 m/s, whereas that of the ultrasonic longitudinal wave in the steel material is approximately 5850 m/s, and the f transverse wave is 3230 m/s. Therefore, according to equations (7) and (8), the first and second critical angles are calculated as u L ' p=10 and u S ' p=5, respectively. When the angle of incidence is larger than the first critical angle, all refraction longitudinal waves will transfer to the plate wave; when the angle of incidence is larger than the second critical angle, all the transverse waves, as well as the longitudinal wave, will transfer into the plate wave.…”

Section: Wave Mode Conversion and Lamb Wavementioning

confidence: 99%

An improved gas kick detection method based on continuous Doppler ultrasonic wave in deep water drilling

Zhou

Zhao

et al. 2017

Advances in Mechanical Engineering

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Gas kick detection is an essential part of safe well control process in deep water drilling. The conventional gas kick detection methods are based on the drilling mud flow velocity measured near the well mouth which often results in a high probability of delay. For deep water drilling, the gas kick detection method based on non-intrusive detection at mud line is one of the most commonly used methods with low cost and strong timeliness. In this article, the reflection model of continuous Doppler ultrasonic wave in multiphase fluid was analyzed and an improved gas kick detection method at mud line was proposed. The proposed method gives a comprehensive judgment on gas kick state based on continuous Doppler shift frequency (multiphase flow velocity), amplitude, and spectral shape. Experimental results on water and 1:1 g/cm 3 oil-based drilling mud demonstrated that the proposed method can detect early gas kick with over 3% void fraction effectively and measure multiphase flow velocity accurately under the steady flow state, showing a relative error smaller than 10%.

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Early detection enhancement of the kick and near-balance drilling using mud logging warning sign

Cited by 17 publications

References 7 publications

Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels

Upstream Ultrasonic Level Based Soft Sensing of Volumetric Flow of Non-Newtonian Fluids in Open Venturi Channels

Offshore drilling blowout risk model – an integration of basic causes, safety barriers, risk influencing factors and operational performance indicators

An improved gas kick detection method based on continuous Doppler ultrasonic wave in deep water drilling

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