Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
"Over the past thirty years, Permanent Downhole Gauge (PDG) systems have become essential in reservoir and production engineering. However, maintaining their ongoing functioning requires reliable fault diagnosis and proactive maintenance procedures. This study explores fault diagnosis methodologies and prognostic maintenance approaches specifically designed for PDG systems. The objective is to improve the reliability and longevity of these systems while minimizing non-productive time (NPT). By doing so, this research aims to enhance production efficiency and reduce costs in oil and gas development and production processes. We perform a comprehensive evaluation of the current PDG behaviour, examine data collected from the field, and employ diverse fault diagnostic techniques to compile a list of spare components for internal maintenance purposes. The Plant Information platform consolidates data for monitoring and surveillance, facilitating real-time remote monitoring of all PDGs from an office setting. A significant obstacle faced by oil and gas operators is the decline in production efficiency and the rise in costs associated with development and production procedures. This study examines various approaches for identifying defects and their underlying causes, as well as predictive maintenance techniques aimed at ensuring the reliability and durability of PDG systems. We investigate prognostic maintenance strategies, including as condition monitoring and predictive analytics, to identify imminent failures and improve maintenance schedules. The integration of these several techniques aims to enhance the dependability and efficiency of permanent downhole gauge systems, enabling uninterrupted data collection and prompt repairs to prevent expensive periods of inactivity. We assess the efficiency and real-world use of the suggested methods by creating a defect diagnosis database, maintaining an inventory of spare parts on-site, and integrating them with the Plant Information (PI) platform. The utilization of fault detection methods, root cause databases, various troubleshooting techniques, and the accessibility of spare parts collectively enhance the maintenance of PDG systems, hence ensuring their consistent and reliable operation in oil and gas production environments. This exercise enhances the flow rate by approximately 5 kbopd, reduces downtime by 47%, and minimizes the cost of slickline intervention by 35%."
"Over the past thirty years, Permanent Downhole Gauge (PDG) systems have become essential in reservoir and production engineering. However, maintaining their ongoing functioning requires reliable fault diagnosis and proactive maintenance procedures. This study explores fault diagnosis methodologies and prognostic maintenance approaches specifically designed for PDG systems. The objective is to improve the reliability and longevity of these systems while minimizing non-productive time (NPT). By doing so, this research aims to enhance production efficiency and reduce costs in oil and gas development and production processes. We perform a comprehensive evaluation of the current PDG behaviour, examine data collected from the field, and employ diverse fault diagnostic techniques to compile a list of spare components for internal maintenance purposes. The Plant Information platform consolidates data for monitoring and surveillance, facilitating real-time remote monitoring of all PDGs from an office setting. A significant obstacle faced by oil and gas operators is the decline in production efficiency and the rise in costs associated with development and production procedures. This study examines various approaches for identifying defects and their underlying causes, as well as predictive maintenance techniques aimed at ensuring the reliability and durability of PDG systems. We investigate prognostic maintenance strategies, including as condition monitoring and predictive analytics, to identify imminent failures and improve maintenance schedules. The integration of these several techniques aims to enhance the dependability and efficiency of permanent downhole gauge systems, enabling uninterrupted data collection and prompt repairs to prevent expensive periods of inactivity. We assess the efficiency and real-world use of the suggested methods by creating a defect diagnosis database, maintaining an inventory of spare parts on-site, and integrating them with the Plant Information (PI) platform. The utilization of fault detection methods, root cause databases, various troubleshooting techniques, and the accessibility of spare parts collectively enhance the maintenance of PDG systems, hence ensuring their consistent and reliable operation in oil and gas production environments. This exercise enhances the flow rate by approximately 5 kbopd, reduces downtime by 47%, and minimizes the cost of slickline intervention by 35%."
Bottomhole pressures of wells are commonly used to evaluate reservoir characteristics such as permittivity and permeability and connectivity between wells. To measure bottomhole pressure, a sensor needs to be conveyed either through an invasive method such as wireline, or it can be permanently installed downhole. These methods can be costly. In this paper, we are introducing a new conveyance method using an untethered well logging tool. We used an untethered well logging tool that can autonomously move in the vertical parts of liquid wells by changing its buoyancy. It takes a small dissolvable weight to descend in a well, and at a programmed depth the weight is released to make the tool buoyant. The recorded data can be retrieved after the tool returns to the surface. We expanded this tool’s capability so that it can land at the bottom of the well and stay for a programmed time frame. To do this, the dissolvable weight was coated to delay the dissolving time during the logging which also eliminated exothermic heating due to the dissolution process. For the demonstration a 900-ft deep test well with 4-in casing was used that has no connectivity with the formation. The tool was programmed to release its weight 6 hours after the start of the logging. Since the tool moves around 0.35 ft/s speed, this provided more than 5 hours of time frame for continuous recording of the pressure and temperature at the well bottom. The tool was collected from the well 6.5 hours after the deployment and the data was downloaded. As expected, the pressure stayed constant during the test. A very low-cost conveyance method was demonstrated for pressure sensor placement at the well bottom.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.