Site NVGTN: Empowering Safe, Ai-Driven Site Exploration for Leadership and Youth with the FIT Platform

Our objective is to streamline the identification and evaluation of potential workover candidates in ADNOC's dynamic drilling and workover schedule. We address challenges related to timing issues in email communications and the need for efficient decision-making amidst many rigs. Our platform offers two workflows, involving all stakeholders, to secure well candidates efficiently and ensure seamless technology implementation, fostering operational excellence and comprehensive records for future reference.

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Publication Details

Published
2025-04-21
DOI
https://doi.org/10.2118/224516-ms
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Site NVGTN: Empowering Safe, Ai-Driven Site Exploration for Leadership and Youth with the FIT Platform

Shemaisa Alsenaidi
Big Data and Business Intelligence
article

Site NVGTN: Empowering Safe, Ai-Driven Site Exploration for Leadership and Youth with the FIT Platform

Shemaisa Alsenaidi
article en

Abstract

Our objective is to streamline the identification and evaluation of potential workover candidates in ADNOC's dynamic drilling and workover schedule. We address challenges related to timing issues in email communications and the need for efficient decision-making amidst many rigs. Our platform offers two workflows, involving all stakeholders, to secure well candidates efficiently and ensure seamless technology implementation, fostering operational excellence and comprehensive records for future reference.

Abu Dhabi National Oil (United Arab Emirates) (AE)
Openalex Percentile: Top 88%
Big Data and Business Intelligence
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Site NVGTN: Empowering Safe, Ai-Driven Site Exploration for Leadership and Youth with the FIT Platform — Shemaisa Alsenaidi · (2025) | TGRS Research Map | TGRS