The Pipe Inspection Lifecycle

2014 ◽  
Author(s):  
David Nemeth ◽  
Troy I. Walda
Keyword(s):  
Energy Transfer ◽  
Natural Gas ◽  
Large Scale ◽  
High Reliability ◽  
Regulatory Compliance ◽  
Data Management System ◽  
Inspection System ◽  
Pipe Inspection ◽  
Web Portal ◽  
Field Inspection

Energy Transfer has implemented a new, comprehensive field-inspection system for the pipe inspection lifecycle that encompasses aerial observations, pipe exposures, foreign line crossings, in-line inspections, anomaly remediation, pipe inspection, and integrity sheet generation. In order to ensure the integrity of the pipe inspection program, the field inspection solution required full audit-trail capabilities, front-side data validation, and full integration with the corporate-wide GIS and Engineering Data Management System. Additionally, to ensure the success of the new inspection program, the inspection solution required a highly intuitive and field user-friendly interface, the ability to work equally well in both connected and disconnected environments, interactive mapping functionality, very high reliability, and a process-driven architecture. Energy Transfer owns and operates approximately 43,000 miles of natural gas, natural gas liquids, refined products, and crude oil pipelines. Due to the size and diversity of Energy Transfer’s assets, the corporate GIS system must be distributed across seven independent instances consisting of server pools and large-scale relational database management systems (RDBMS). Although each system must be functionally independent, the field inspection system and the inspection process must interact with each server and RDBMS instance with equal functionality and be able to report on all pipe inspection activities across the enterprise. The inspection system is used by over 1,200 Energy Transfer employees and contractors, and approximately 15,000 inspections are performed annually. The system supports a variety of devices, such as: laptops, tablet computers, iOS devices (i.e., iPads, iPhones), and Android devices. Whether on foot, in vehicles or aircraft, users can enter information from the platform that best meets the needs of their individual environment. Information collected on any device is available for continuance of the pipe inspection lifecycle on any other device and is available in real time at the corporate offices via a Web portal. The Web portal provides visualization tools for both business and engineering analysis such as progress tracking and remediation planning. These functions are supported through the portal’s integrated mapping, dash boarding, and a reporting functionality that includes advanced search capabilities for both comparative and predictive analysis. In addition to utilization for the pipe inspection lifecycle, the inspection system is being used for a variety of other inspection and regulatory compliance-related activities, including: cathodic protection, incident reporting, corrosion assessment, DOT structure location, MAOP-MOP establishment, shallow cover, unmetered gas loss, and many more right-of-way related activities.

A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive

2013 ◽  
Vol 3 (4) ◽  
pp. 38-50 ◽  
Author(s):  
Yashvardhan Sharma ◽  
Saurabh Verma ◽  
Sumit Kumar ◽  
Shivam U.
Keyword(s):  
Data Warehouse ◽  
Large Scale ◽  
Performance Enhancement ◽  
High Reliability ◽  
Data Management System ◽  
Mapreduce Framework ◽  
Large Scale Data ◽  
Query Engine ◽  
Commodity Clusters ◽  
Scale Data

To achieve high reliability and scalability, most large-scale data warehouse systems have adopted the cluster-based architecture. In this context, MapReduce has emerged as a promising architecture for large scale data warehousing and data analytics on commodity clusters. The MapReduce framework offers several lucrative features such as high fault-tolerance, scalability and use of a variety of hardware from low to high range. But these benefits have resulted in substantial performance compromise. In this paper, we propose the design of a novel cluster-based data warehouse system, Daenyrys for data processing on Hadoop – an open source implementation of the MapReduce framework under the umbrella of Apache. Daenyrys is a data management system which has the capability to take decision about the optimum partitioning scheme for the Hadoop's distributed file system (DFS). The optimum partitioning scheme improves the performance of the complete framework. The choice of the optimum partitioning is query-context dependent. In Daenyrys, the columns are formed into optimized groups to provide the basis for the partitioning of tables vertically. Daenyrys has an algorithm that monitors the context of current queries and based on the observations, it re-partitions the DFS for better performance and resource utilization. In the proposed system, Hive, a MapReduce-based SQL-like query engine is supported above the DFS.

Case Studies of Distributed Generation Projects With Microturbines in Brazil

2003 ◽  
Author(s):  
Eli Eber Batista Gomes ◽  
Marco Antoˆnio Rosa do Nascimento ◽  
Electo Eduardo Silva Lora
Keyword(s):  
Natural Gas ◽  
Distributed Generation ◽  
Large Scale ◽  
High Reliability ◽  
Payback Period ◽  
Economical Analysis ◽  
Energy Company ◽  
Cogeneration System ◽  
Generation Costs ◽  
The Cost

Microturbines have showed good perspectives for the distributed generation of the electricity in low capacity range, because they have high reliability and simple design (high potential for a cheap manufacture and in large scale). Besides, this technology must have a great application in systems of cogeneration of the public service (malls, hotel, hospital, etc.) and in the distributed generation of the electricity in the developing countries in order to get a reliable operation system, in a range of power compatible with the isolated communities. In Brazil, The Thermal Systems Study Group (NEST) of Federal University of Itajuba´ (UNIFEI) sponsored by The Energy Company of Minas Gerais (CEMIG), are developing a project of experimental valuation of the system with microturbines for electricity generation fueled with natural gas and diesel. The objective of this paper is to show an economic evaluation which presents the generation costs and the payback period with the Capstone 30 kW natural gas microturbines business in three cases: microturbines operating on base load in gas station, microturbines operating on peak shave in the industry and a microturbine cogeneration system operating in the residential segment. It was considered the cost of microturbines at this moment and the projection for the future, as well as the cost of electricity and natural gas in Brazil. An economical analysis was carried out for different variables involved and the results show the Capstone 30 kW natural gas microturbines business are feasible firstly in cogeneration cases which is possible to get until 3 years of payback period. Besides, the return on the investment have shown improvements with the incentive of the natural gas distributing companies and with the rises in the electricity price of Brazilian utilities.

scholarly journals Differential hydrocarbon enrichment in deep Paleogene tight sandstones of the Dongpu Depression in Eastern China

2021 ◽  
pp. 014459872098811
Author(s):  
Yuanyuan Zhang ◽  
Zhanli Ren ◽  
Youlu Jiang ◽  
Jingdong Liu
Keyword(s):  
Natural Gas ◽  
Crude Oil ◽  
Large Scale ◽  
Eastern China ◽  
Continuous Distribution ◽  
Gas Reservoirs ◽  
Pyrolysis Gas ◽  
Hydrocarbon Charging ◽  
Dongpu Depression ◽  
Kerogen Pyrolysis

To clarify the characteristics and enrichment rules of Paleogene tight sandstone reservoirs inside the rifted-basin of Eastern China, the third member of Shahejie Formation (abbreviated as Es3) in Wendong area of Dongpu Depression is selected as the research object. It not only clarified the geochemical characteristics of oil and natural gas in the Es3 of Wendong area through testing and analysis of crude oil biomarkers, natural gas components and carbon isotopes, etc.; but also compared and explained the types and geneses of oil and gas reservoirs in slope zone and sub-sag zone by matching relationship between the porosity evolution of tight reservoirs and the charging process of hydrocarbons. Significant differences have been found between the properties and the enrichment rules of hydrocarbon reservoirs in different structural areas in Wendong area. The study shows that the Paleogene hydrocarbon resources are quasi-continuous distribution in Wendong area. The late kerogen pyrolysis gas, light crude oil, medium crude oil, oil-cracked gas and the early kerogen pyrolysis gas are distributed in a semicircle successively, from the center of sub-sag zone to the uplift belt, that is the result of two discontinuous hydrocarbon charging. Among them, the slope zone is dominated by early conventional filling of oil-gas mixture (at the late deposition period of Dongying Formation, about 31–27 Ma ago), while the reservoirs are gradually densified in the late stage without large-scale hydrocarbon charging (since the deposition stage of Minghuazhen Formation, about 6–0 Ma). In contrast, the sub-sag zone is lack of oil reservoirs, but a lot of late kerogen pyrolysis gas reservoirs are enriched, and the reservoir densification and hydrocarbon filling occur in both early and late stages.

Comparative Exploration of Mini Vertical Axis Breeze-Driven Generator

2014 ◽  
Vol 670-671 ◽  
pp. 964-967
Author(s):  
Shu Hua Bai ◽  
Hai Dong Yang
Keyword(s):  
Natural Gas ◽  
Wind Turbine ◽  
Wind Power ◽  
North Africa ◽  
Large Scale ◽  
Solar Power ◽  
Vertical Axis ◽  
Green Energy ◽  
Energy Crisis ◽  
Fossil Energy

Nowadays, energy crisis is becoming increasingly serious. Coal, petroleum, natural gas and other fossil energy tend to be exhausted due to the crazy exploration. In recent decades, several long lasting local wars broke out in large scale in Mideast and North Africa because of the fighting for the limited petroleum. The reusable green energy in our life like enormous wind power, solar power, etc is to become the essential energy. This article is to conduct a comparative exploration of mini wind turbine, with the purpose of finding a good way to effectively deal with the energy crisis.

Large-scale liquefied natural gas ships

2020 ◽  
Vol 7 (3) ◽  
pp. 461-465
Author(s):  
Danping Lou ◽  
Yan Li
Keyword(s):  
Natural Gas ◽  
Large Scale ◽  
Liquefied Natural Gas

Machine-learning as a validated tool to characterize individual differences in free recall of naturalistic events.

2021 ◽  
Author(s):  
Xinxu Shen ◽  
Troy Houser ◽  
David Victor Smith ◽  
Vishnu P. Murty
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Individual Difference ◽  
Language Processing ◽  
Large Scale ◽  
High Reliability ◽  
Difference Analysis ◽  
Universal Sentence ◽  
Natural Language Processing Tool

The use of naturalistic stimuli, such as narrative movies, is gaining popularity in many fields, characterizing memory, affect, and decision-making. Narrative recall paradigms are often used to capture the complexity and richness of memory for naturalistic events. However, scoring narrative recalls is time-consuming and prone to human biases. Here, we show the validity and reliability of using a natural language processing tool, the Universal Sentence Encoder (USE), to automatically score narrative recall. We compared the reliability in scoring made between two independent raters (i.e., hand-scored) and between our automated algorithm and individual raters (i.e., automated) on trial-unique, video clips of magic tricks. Study 1 showed that our automated segmentation approaches yielded high reliability and reflected measures yielded by hand-scoring, and further that the results using USE outperformed another popular natural language processing tool, GloVe. In study two, we tested whether our automated approach remained valid when testing individual’s varying on clinically-relevant dimensions that influence episodic memory, age and anxiety. We found that our automated approach was equally reliable across both age groups and anxiety groups, which shows the efficacy of our approach to assess narrative recall in large-scale individual difference analysis. In sum, these findings suggested that machine learning approaches implementing USE are a promising tool for scoring large-scale narrative recalls and perform individual difference analysis for research using naturalistic stimuli.

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