... Abstract The drilling industry is permanently seeking to reduce operational costs by improving the efficiency of the drilling process. The complexity and uncertainty of the drilling process and limited information during the well construction lead to difficulty in applying standard control...

.... Novel/Additive Information PFA is an innovative approach which combines AI, statistical and physics-based methods to provide explainable predictions of ESP failure. Unlike commonly used threshold-based approaches, PFA tends to generate fewer alarms which enables proactive optimization of ESP...

... and subsurface time-lapse measured surveillance data. history matching saturation asia government saudi arabia government permeability united states government modeling & simulation upstream oil & gas reservoir simulation artificial intelligence workflow history equation information...

... technipfmc downtime united states government real time system information non-productive time procedure mechanism guessing petroleum engineer north america journey autonomous operation judgement society Introduction According to the Energy Information Authority (EIA), unconventional oil...

... Abstract Oil & Gas extraction companies are using a vast amount of capital and expertise on production optimization. The scale and diversity of information required for analysis is massive and often leading to a prioritization between time and precision for the teams involved in the process...

... deep learning machine learning artificial intelligence production control flow metering production monitoring neural network accuracy vfm gryzlov scenario upstream oil & gas flow rate multiphase rate data-driven method machine learning methods information prediction application...

... the inventory issue. Therefore, it is desirable to reduce workover time and optimize production by providing early warning of ESP failures ( Fig. 1 ). artificial lift system neural network artificial intelligence machine learning deep learning accuracy information electrical submersible pump...

... learning artificial intelligence esp operation production control production logging vibration sensor artificial lift system reservoir surveillance upstream oil & gas information coefficient wsg mixture liquid flow rate gas content pump operation flow rate wg mixture virtual flowmeter...

...%. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material does...

... by real time data, enhances oil back allocation process. Artificial Intelligence drillstem/well testing information well performance Upstream Oil & Gas production test optimization problem inflow performance correlation rate estimation approach enhance consistency real time system...

.... Statistics is a strong tool to turn information or data into knowledge when used with care and physical understanding of the cause-effect relation between attributes and the outcome. Unfortunately, historical data and learnings from the past cannot be used in an efficient way in oilfield decisions due...

... the performance of ongoing operations and provides consistent, fact-based decisions for selecting the ideal operating approach for each well. Artificial Intelligence Upstream Oil & Gas rig state benchmarking optimization problem information workflow performance indicator KPIs drilling...

... expertise information production data operation business expertise combine digital technology sensor data quality Upstream Oil & Gas calculation digital technology application data validation society of petroleum engineers Multiphase validation Introduction Oil & gas business...

... for its manipulation needs to be documented as well. Trusted data means that each member of the team trusts each other's methodology to transform data into information. An enabler is the generation of meta-data to encapsulate this logic with the shared output. Such fresh approaches to data validation...

... Abstract A lot has changed since Process Control Systems (PCS) were isolated and provided very specific functions based on proprietary closed vendor based solutions. In the early 1990's, and with evolution of Information Technology, PCS started taking higher leaps toward integration and open...

... noise sensor data Saudi Arabia government summarize representation drilling hook load Exhibition time data dataset society of petroleum engineers data quality Saudi Aramco case study knowledge management information summarization Introduction For any business, data has been one...

... data Quality Issue performance indicator best practice Exhibition histogram Drilling Performance Measurement performance measurement invisible lost time rig sensor data routine operation benchmarking drilling operation information operation rig society of petroleum engineers...

... ways to test their reservoirs. The use of newly developed tools and technologies is necessary to deal with the challenges of efficiency and effectiveness while at the same time, safely optimizing the operational sequences, improving decision making with real-time information and reducing rig costs...

.... The creation of this environment started with a comprehensive assessment of the production engineering (PE) activities and processes. The assessment was conducted through electronic surveys, face-to-face interviews and interactive workshops to gather the required information from PE experts and develop a full...

... system ic environment Upstream Oil & Gas cyber security vulnerability protection proprietary technology control system application server segmentation information incident critical infrastructure operation requirement network segmentation attacker threat EXECUTIVE SUMMARY...