25 research outputs found
Detecting Traffic Conditions Model Based On Clustering Nodes Situations In VANET
No full textIn the last decade, cooperative vehicular network has been one of the most studied areas for developing the intelligent transportation systems (ITS). It is considered as an important approach to share the periodic traffic situations over vehicular ad hoc networks (VANETs) to improve efficiency and safety over the road. However, there are a number of issues in exchanging traffic data over high mobility of VANET, such as broadcast storms, hidden nodes and network instability.
This paper proposes a new model to detect the traffic conditions using clustering traffic situations that are gathered from the nodes (vehicles) in VANET. The model designs new principles of multi-level clustering to detect the traffic condition for road users. Our model (a) divides the situations of vehicles into clusters, (b) designs a set of metrics to get the correlations among vehicles and (c) detects the traffic condition in certain areas. These metrics are simulated using the network simulator environment (NS-3) to study the effectiveness of the model
Routing And Communication Path Mapping In VANETS
No full textVehicular ad-hoc network (VANET) has quickly become an important aspect of the intelligent transport system (ITS), which is a combination of information technology, and transport works to improve efficiency and safety through data gathering and dissemination. However, transmitting data over an ad-hoc network comes with several issues such as broadcast storms, hidden terminal problems and unreliability; these greatly reduce the efficiency of the network and hence the purpose for which it was developed. We therefore propose a system of utilising information gathered externally from the node or through the various layers of the network into the access layer of the ETSI communication stack for routing to improve the overall efficiency of data delivery, reduce hidden terminals and increase reliability. We divide route into segments and design a set of metric system to select a controlling node as well as procedure for data transfer. Furthermore we propose a system for faster data delivery based on priority of data and density of nodes from route information while developing a map to show the communication situation of an area. These metrics and algorithms will be simulated in further research using the NS-3 environment to demonstrate the effectiveness
Analysing the process leading to cooperation or refusal using call record data: A multilevel multinomial modelling approach
No full textIn recent years, survey agencies have started to collect detailed call record data, including information on the timing and outcome of each interviewer call to a household. In interviewbased household surveys, effective interviewer calling behaviours are critical in achieving cooperation and reducing the likelihood of refusal. This paper aims to analyze interviewer call record data to inform the process leading to cooperation or refusal in face-to-face surveys. Of particular interest are the influences on the outcome of a call of interactions between the interviewer and householder and of time-varying characteristics of the call. A multilevel multinomial logistic regression approach is used in which the different possible outcomes at each call are modelled jointly
Analysing interviewer call record data to understand the process leading to cooperation or refusal
No full textCollaborative Well Planning and Optimization of Well Placement: A Case Study From Mangala Field Development, Rajasthan India
No full textIntegrated Drilling and Completion Data Workflow into a Strategic Data Management Solution: An Implementation Case Study from Cairn Energy India
No full textAbstract
In 2008, Cairn Energy India, Ltd. (CEIL) recognized the importance of tackling unstructured data across the drilling and petroleum engineering group, where significant use of a proper workflow and a state-of-the-art data management application system have been promoted within the organization. The project rollout was aimed to achieve absolute integration of drilling and completion information into one centralized database system.
Over the last 10 years, the drilling and well services group has used the knowledge management system to achieve targeted maturity involving the conversion of a large volume of data into a reliable, yet simple, synchronized and structured data form. Collaboration between departments and vendor's application was needed for the CEIL process to remain effective following the company's aggressive growth.
This system was initially designed to generate schematics, reports, and queries. A specific workflow and process culture was required to ensure that all critical data, including operation-related information, are being captured meticulously during the lifecycle of a well.
Factual integration between the drilling and completion system was only possible after combining the thousands of reports into a centralized data management system. CEIL initiated the data management project to achieve reliable and accessible information across this domain, thus improving the group's productivity and operational efficiency.
This integration further facilitated the common access point for engineering personnel. In addition, it minimized the data entry workflow and effective use of decisive historical data. Data, once recorded, can be used by multiple applications intended for engineering, well-planning analysis, and operational monitoring. This integration has improved data quality and facilitated timely and cost-effective decision making.
This paper explains the methodology, strategy, and technology implemented in the data management project.</jats:p
The Contribution Of Synthetic Based, Non-Aqueous, Drilling Fluids To The Successful Development Of Mangala Field, India’s Largest Onshore Oilfield
No full textRapid Rig Design – A Cost Effective Innovative Design For Field Development
No full textAbstract
During the exploration and appraisal phase in the RJ-ON-90/1 block, operated by Cairn Energy India in the Thar Desert of Rajasthan, India, the company discovered numerous oil fields in the Barmer Basin spread over a huge area. The emphasis was to develop these fields with significant savings in both land and infrastructure costs while minimizing environmental impacts. A compact rig design coupled with a multi-well pad concept was the chosen solution.
The paper presents use of an innovative onshore pad drilling system which was implemented via a custom built Rapid Rig technology that allows fast, efficient drilling operations on multi-slot pads to enhance the success of the extensive drilling campaign for these oilfields.
The rigs are highly mobile, skid mounted, electrically driven 1,000HP "Super singles". They were custom built in Houston for Cairn to deploy in Rajasthan for the drilling of more than 350 development wells. The Rapid Rig's small footprint and self deploying design allows for ease of transport and faster onsite rig-up. These rigs are the first of their kind with wheels attached to the base structure. Unlike conventional rigs, these purpose-built rigs move easily and quickly (4hrs) between pad slots without rigging down, which in turn cuts well construction time and delivers greater efficiency at reduced costs. The fully automated rig floor coupled with an innovative pipe handling system reduces crew size and accident exposure (zero pipe handling LTI's) while providing a more comfortable and efficient work environment, leading to a substantial reduction in well construction time (1,2001,500m wells are drilled in 7 to 9 days).
The paper will explain detailed aspects of the custom made Rapid Rig design and its implementation including the pad drilling concept. It will also demonstrate how this significantly improved the well delivery, contributing to substantial cost and well construction savings without compromising HSE standards.</jats:p
Significance of Well Construction; Operational Efficiency in Remote Areas - Tullow Kenya's Remarkable Cost Reduction Journey
No full text
