Big Data vs. Diverse Data: Confidential Databases Lack Performance Benchmarks
A study by a real-time monitoring company showed that many coiled-tubing strings are retired with a lot of life left in them. It suggested companies could lower costs by using pipe for a longer time, and could benefit by multi-company studies showing how their decisions compare to the competition.
Data Mining Effective for Casing-Failure Prediction and Prevention
This paper is part of an ongoing effort to minimize the likelihood of failure using data-mining and machine-learning algorithms.
Computational Model Predicts Breakdown Pressures in Unconventional Plays
This paper presents a newly developed model to predict the breakdown pressures in cased and perforated wells.
Surface Drilling Data Can Help Optimize Fracture Treatment in Real Time
This paper presents a unique work flow that addresses in real time the challenges of perforation and fracture-treatment design while accounting for the lithologic and stress variability along the wellbore and its surroundings.
Digital Transformation Increases Value in an Omani Thermal EOR Asset
A thermal asset in Oman is characterized by a large-scale steam-drive/cyclic-steam-soak development project, underpinned by extensive data gathering.
Artificial Intelligence Can Reduce ESP Failures
Electrical-submersible-pump (ESP) technology predominates available artificial-lift options. The risk of ESP failures can be reduced greatly with the right combination of advanced technologies, such as combining artificial intelligence with a cloud-based autonomous surveillance system.
Machine Learning Optimizes Duvernay Shale-Well Performance
This paper discusses how machine learning by use of multiple linear regression and a neural network was used to optimize completions and well designs in the Duvernay shale.
ABS Unveils Guide for Using Smart Technology in Marine and Offshore Industries
The first set of notations of its kind helps owners and operators qualify and use smart functions to manage asset health and performance.
$1 Million Gift From ConocoPhillips Will Enhance Data Science Offerings at University of Houston
Demand is growing at the University of Houston and others from students who want to study data science; from researchers who produce, interpret, or otherwise work with reams of data; and from industry, which needs a data science-savvy workforce.
GHGSat Readies Launch of Second Emissions-Monitoring Satellite
The new satellite will build on the success of the company's demonstration satellite Claire, which has performed over 2,500 observations of oil and gas facilities as well as other natural and industrial sources of carbon dioxide and methane.
Integrating Geomechanical Data Optimizes Completions Design
This paper demonstrates how engineers can take advantage of their most-detailed completions and geomechanical data by identifying trends arising from past detailed treatment analyses.
Digital Transformation Pushes Companies To Rethink How They Work
With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.
Oil Companies Must Learn To Share
Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.
Machine-Learning Approach Identifies Wolfcamp Reservoirs
This paper discusses a project with the objective of leveraging prestack and poststack seismic data in order to reconstruct 3D images of thin, discontinuous, oil-filled packstone pay facies of the Upper and Lower Wolfcamp formation.
How To Find the Right Data System for Equipment Inspections
Inspection data management system software can help companies bolster their mechanical integrity programs, but choosing the wrong software can have a lasting impact on a company’s operations. So, what goes into finding the right software for your needs?
Companies Are Failing in Their Efforts To Become Data-Driven
Leading corporations seem to be failing in their efforts to become data-driven. This is a central and alarming finding of NewVantage Partners’ 2019 Big Data and AI Executive Survey.
As Expectations Grow, Data Analytics Faces Hurdles
Expectations from data analytics in the upstream sector continue to evolve. Although the number and diversity of applications continue to increase, the adoption at the assetwide level faces well-known barriers and challenges.
Simulation Algorithm Benefits by Connecting Geostatistics With Unsupervised Learning
A new geostatistics modeling methodology that connects geostatistics and machine-learning methodologies, uses nonlinear topological mapping to reduce the original high-dimensional data space, and uses unsupervised-learning algorithms to bypass problems with supervised-learning algorithms.
Face-Detection Algorithm Handles Big Data To Help Identify Candidates for Restimulation
This paper demonstrates the viability of a production-data-classification approach adapted from real-time face detection for identifying restimulation candidates.
New Method for Predicting Production Boosts Accuracy for Carbonate Reservoirs
This paper proposes a new method of economic prediction on the basis of expert library and oilfield databases. The method takes into account geological factors and the effect of production factors on the economic prediction.
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03 July 2019