Modeling the Risk of U.S. Offshore Oil & Gas Exploration-Well Drilling, Commercial Nuclear Plants, and Human Spaceflight

Probabilistic Risk Assessment (PRA) has been applied in different industries for many years. Each industry and technology area presents varying challenges and priorities, and the risk models therefore need to be somewhat different. This paper compares aspects of risk modeling of offshore drilling, nuclear plant operation, and human spaceflight. Risk models in all three technology areas have certain high-level similarities: (1) they employ redundancy and diversity in their means to prevent or mitigate risk, including a mix of active and passive systems designed to respond to off-normal evolutions; (2) they are affected by human reliability; (3) their models require consideration of coupling between scenario structure and scenario phenomenology. But in examining the models in more detail, one sees important differences in methodology and emphasis. For purposes of comparison, this paper discusses aspects of a risk model of an offshore drilling operation in the U.S. Gulf of Mexico, focusing on where such a development differs in important ways from models of commercial U.S. nuclear plants and models developed for human spaceflight

Establishing cost-effective safety management for major oil and gas exploitation projects in the design phase

Disasters such as Deepwater Horizon in the Gulf of Mexico, in April 2010, continue to blight the oil and gas industry despite a significant amount of research effort carried out by academia, regulatory bodies, and oil and gas companies to understand how safety-related incidents, especially disasters, can be prevented. While these have contributed to the discussion around reducing risk, they often lack the systemic influences that determine the value drivers affecting decision-making, and the ability to achieve continuous and sustainable improvements in safety performance. Consequently, this research aims to provide a more holistic approach to understanding the nature of disasters in the oil and gas industry, and identifying how future disasters can be prevented by establishing "more cost-effective strategies. Quantitative research was carried out to determine the type and validity of the data used to construct trends in major accident safety performance, and qualitative research was carried out to assess the key factors that influence safety performance, and whether these are effectively applied. The conclusions of this research are that the industry has not demonstrated effective implementation of an Occupational Health and Safety Management System (OH&S-MSj. Historically safety performance shows wide annual variations where trends are difficult to define and extrapolate, making it difficult to provide any significant benefit for major accident prevention. There is no evidence to indicate that moving from a prescriptive, to a goal-setting regime, has improved safety performance, and reduced the prospect of future major accidents. Disaster investigation reports have shown that the role of the regulator has been ineffective. However, the adoption of a more comprehensive, and effective approach to inherently safer designs, and the way projects are managed, have the potential to make safety management more cost-effective and reduce the prospect of future disasters

Humboldt Bay Independent Spent Fuel Storage Installation

Author N/A - Final Safety Analysis Report Update Revision 11 NRC Docket No. 72-2

Humboldt Bay Independent Spent Fuel Storage Installation Final Safety Analysis Report Update

Author N/A - Final Safety Analysis Report Update Revision 11 NRC Docket No. 72-2

HSE Procedure for Deep Drilling & Workover Operations: Proposal for a drilling company operating in the middle east

The purpose of the hereby document is to implement a procedure that will be suitable to the deep drilling and workover operations carried out by the Deep Drilling Group from XYZ Company. Also is intended to obtain a uniformed document that will be a reference to all Contractors and Subcontractors working under The Deep Drilling Group. The document will, obviously, be complemented with specific XYZ HSE procedures that are part of the actual management system implemented and which are a very useful source of information. Nevertheless, the information and recommendations compiled on the document do cover most of the needs for a safely operation, and they do comply with international industry best practices and regulations. Besides the HSE Procedure, which is the main subject of the thesis, it is also possible to get an overview of industry HSE matters, information related to the oil industry in a Middle East Country, using Kuwait as reference, and a specific overview of the HSE status in the XYZ Company. From practical side, the document directs the reader to an annexure were a full HSE procedure for drilling and workover operations is available for consultation and use

Robotic Maintenance and ROS - Appearance Based SLAM and Navigation With a Mobile Robot Prototype

Robotic maintenance has been a topic in several master's theses and specialization projects at the Department of Engineering Cybernetics (ITK) at NTNU over many years. This thesis continues on the same topic, with special focus on camera-based mapping and navigation in conjunction with automated maintenance, and automated maintenance in general. The objective of this thesis is to implement one or more functionalities based on camera-based sensors in a mobile autonomous robot. This is accomplished by acquiring knowledge of existing solutions and future requirements within automated maintenance. A mobile robot prototype has been configured to run ROS (Robot Operating System), a middleware framework that is suited to the development of robotic systems. The system uses RTAB-Map (Real-Time Appearance Based Mapping) to survey the surroundings and a built navigation stack in ROS to navigate autonomously against easy targets in the map. The method uses a Kinect for Xbox 360 as the main sensor and a 2D laser scanner to the surveying and odometry. It is also developed functional concepts for two support functions, an Android application for remote control over Bluetooth and a remote central (OCS) developed in Qt. Remote Central is a skeletal implementation that is able to remotely control the robot via WiFi, as well as to display video from the robot's camera. Test results, obtained from both live and simulated trials, indicate that the robot is able to form 3D and 2D map of the surroundings. The method has weaknesses that are related to the ability to find visual features. Laser Based odometry can be tricked when the environment is changing, and when there are few unique features. Further testing has demonstrated that the robot can navigate autonomously, but there is still room for improvement. Better results can be achieved with a new movable platform and further tuning of the system. In conclusion, ROS works well as a development tools for robots, and the current system is suitable for further development. RTAB-Maps suitability for use on an industrial installation is still uncertain and requires further testing

Safety Evaluation Report: Humboldt Bay Independent Spent Fuel Storage Installation

DOCKET NO. 72-27 Materials License No. SNM-251

Safety Evaluation Report: Humboldt Bay Independent Spent Fuel Storage Installation

DOCKET NO. 72-27 Materials License No. SNM-251