Big Data in Oil & Gas - Thematic Research

Big Data has been described in the past as sharing similarities with unrefined crude oil, as it possesses raw wealth but requires refining to really unlock its immense value. Given the nature of the industry itself, vast amounts of raw data have been captured throughout the extraction and production processes, so it is just a matter of manipulating these assets in an intelligent way. Without actually using this data while carrying out exploration duties, personnel performance visibility, increased detection of oil reservoirs, accurate 3D models of deep-sea structures, and machine and equipment health are just a few benefits that have already been begun to take shape.

Digitization of the assets are undoubtedly proving to be a boon as they can assist the oil and gas industry to extract high volumes of hydrocarbons by optimizing their limited resources, propelling the growth of digital oil fields. The IoT-enabled sensors mounted on the pipelines, wellheads, and other equipment generate high volumes of data that is then analyzed and interpreted to gain actionable insights about conditions and output. The future of oil and gas companies is expected to depend on the ability of the IoT to harness the power of Big Data with use of advanced analytics.

Scope

- The report highlights key Big Data trends impacting the global oil & gas industry.

- The report provides case studies of oil and gas companies, which are increasingly Big Data powered analytics for improving operational efficiencies, enhanced safety, and improve revenue streams.

- The report compares competitive position of key oil and gas companies in the Big Data theme.

Reasons to buy

- To know how oil and gas companies will continue to gain valuable insights into their operations and be able to take corrective measures in real time through by analyzing data.

- To understand the role of data in predictive maintenance, which maximizes operational efficiencies by reducing the amount of unplanned downtime experienced by oil and gas companies.

- Gain insight on how data-driven edge computing is revolutionizing the way IoT data is used in the oil and gas industry.

- To know how companies such as Royal Dutch Shell are leveraging data to for improving operational performance and safety.

Companies mentioned

Amazon

Arista Networks

Cisco

Cloudera

Hortonworks

HP Enterprise

IBM

Intel

Google

Juniper Networks

Micron

MicroStrategy

Microsoft

NeoPhotonics

Nutanix

Nvidia

Oracle

Pure Storage

Red Hat

SAP ...

Amazon

Arista Networks

Cisco

Cloudera

Hortonworks

HP Enterprise

IBM

Intel

Google

Juniper Networks

Micron

MicroStrategy

Microsoft

NeoPhotonics

Nutanix

Nvidia

Oracle

Pure Storage

Red Hat

SAP

Software AG

Tableau

Talend

Vmware

Alpine Data Labs

Alteryx

Birst

Capsenta

Dataiku

DataVirtuality

Delphix

Denodo Technologies

Informatica

Logi Analytics

MarkLogic

PostgreSQL

Qlik

RapidMiner

Reltio

TIBCO

BP

ConocoPhillips

Repsol

Shell

Siemens

Table of Contents

Players

Trends

Value chain

Industry analysis

The impact of big data on oil & gas

Companies section

Technology briefing

Glossary

APPENDIX: OUR "THEMATIC" RESEARCH METHODOLOGY

Players

Trends

Value chain

Industry analysis

The impact of big data on oil & gas

Companies section

Technology briefing

Glossary

APPENDIX: OUR "THEMATIC" RESEARCH METHODOLOGY

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