alexa Robotic Logging Technology: The Future Of Oil Well Logging | 18573
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Robotic logging technology: The future of oil well logging

3rd International Conference on Earth Science & Climate Change

Nitin Lahkar and Rishiraj Goswami

Posters: J Earth Sci Clim Change

DOI: 10.4172/2157-7617.S1.015

Abstract
Oil well logging or the practice of making a detailed record (a well log) of the geologic formations penetrated by a borehole is an important practice in the oil and gas industry. Although a lot of research has been undertaken in this field, some basic limitations still exist. One of the main arenas or venues where plethora of problems arises is in logistically challenged areas. Accessibility and availability of efficient manpower, resources and technology is very time consuming, restricted and often costly in these areas. So, in this regard, the main challenge is to decrease the Non Productive Time (NPT) involved in the conventional logging process. The thought for the solution to this problem has given rise to a revolutionary concept called the ?Robotic Logging Technology?. Robotic logging technology promises the advent of successful logging in all kinds of wells and trajectories. It consists of a wireless logging tool controlled from the surface. This eliminates the need for the logging truck to be summoned which in turn saves precious rig time. The robotic logging tool here, is designed such that it can move inside the well by different proposed mechanisms and models listed in the full paper as Type A, Type B and Type C. These types are classified on the basis of their operational technology, movement and conditions/wells in which the tool is to be used. Thus, depending on subsurface conditions, energy sources available and convenience the type of robotic model will be selected
Biography
Nitin Lahkar is a final year student of BTech in Petroleum Engineering from Dibrugarh University with a keen interest in the subject and dedication to the oil and gas industry.
Top