Posted: 05/30/2023 - by Dean Reid

How Can AWS Assist or Improve Oil & Gas Operations?

Many companies in the Oil and Gas sector are digitizing their operations to transform their business operations. Cloud providers like Amazon are leading the way in helping these companies to improve their agility, increase efficiency, reduce costs, and accelerate innovation, while also ensuring security and compliance with industry regulations.

Amazon Cloud solutions provide cloud- based solutions across various stages and functions of the Oil and Gas value chain, from upstream operations to downstream.

Exploration & production

Cloud solutions can help oil and gas companies analyze large amounts of data from drilling and production activities to optimize their operations and reduce costs.

Well logs, seismic data & production reports - store and /access large amounts of data from exploration and production activities with Amazon’s S3 (Simple Storage Service) with its object storage capabilities or process & analyze large volumes of data with Amazon’s EMR (Elastic Map Reduce) big data processing service.
Exploration & production data - transform and analyze data from different sources to gain insights & optimize operations with Amazon’s Glue service that is a fully managed extract, transform, and load (ETL) service.
Exploration & production operations - collect, analyze & act on data from IoT devices, such as sensors & devices with AWS’ IoT (Internet of Things) suite of services that can be used to collect, analyze, and act on data.
Reservoir properties & production operations - build, train & deploy machine learning models to predict reservoir properties and optimize production operations with Amazon’s SageMaker service.

Supply chain management

Cloud solutions can help upstream companies to better manage their supply chains by providing real-time data on inventory levels, shipping schedules, and delivery times.

Inventory & shipment records - store and access supply chain data, including inventory and shipment records, supplier performance data, and procurement contracts with Amazon’s S3 (Simple Storage Service) service.
Sensors & devices - collect, analyze, and act on data from IoT sensors and devices used in supply chain management, to optimize inventory levels, reduce costs, and improve safety with AWS IoT (Internet of Things) services.
Supply chain efficiency - build and deploy machine learning models to forecast demand, optimize inventory levels, and improve supply chain efficiency with Amazon Forecast.
Changes in supply chain conditions - run code in response to events, such as changes in supply chain conditions, to trigger alerts and initiate workflows with Amazon’s Lambda service.
Visualize & analyze supply chain data - visualize & analyze supply chain data, identify trends & patterns & gain insights to optimize supply chain operations with Amazon QuickSight.

Transportation & logistics

Cloud solutions can help midstream companies to optimize their transportation and logistics operations by providing real-time visibility into pipeline and shipping activities.

Route Optimization - run transportation and logistics applications, such as route optimization software and dispatching systems with Amazon’s EC2 (Elastic Compute Cloud) service.
Store/access transportation & logistics - store & access transportation & logistics data, including pipeline & vessel inspection reports, shipping schedules, & maintenance records with Amazon’s S3 (Simple Storage Service) service.
Analyze streaming data - collect, process & analyze streaming data from sensors & other sources to optimize transportation & logistics operations with Amazon’s Kinesis service.
Delays & disruptions - run code in response to events, such as delays or disruptions in transportation & logistics operations, to trigger alerts and initiate contingency plans with Amazon’s Lambda service.
Route traffic to optimal locations - route traffic to optimal locations based on factors such as latency, availability, and cost with Amazon’s Route 53 service.
Transfer data between data centers & Cloud - securely & reliably transfer data between on-premises data centers & AWS cloud services with Amazon’s Direct Connect.

Asset management

Cloud solutions can help midstream companies to track and manage their assets, such as pipelines, storage tanks, and compressor stations, to ensure they are functioning optimally and minimize downtime.

Access asset data - store & access asset data, including pipeline inspection reports, equipment manuals & maintenance records with Amazon S3 (Simple Storage Service).
Asset monitoring - collect, analyze, and act on data from IoT devices, such as sensors and devices used in midstream asset management, to optimize maintenance schedules, reduce downtime, and improve safety with Amazon’s EC2 (Elastic Compute Cloud) service
Optimize maintenance schedules - collect, analyze, and act on data from IoT devices, such as sensors and devices to optimize maintenance schedules, reduce downtime, and improve safety with Amazon’s IoT (Internet of Things) service.
Predict equipment failures - build, train, and deploy machine learning models to predict equipment failures and optimize maintenance schedules with Amazon’s SageMaker.
Equipment failure alerts - run code in response to events, such as equipment failures, to trigger alerts & initiate maintenance workflows with Amazon’s Lambda service.
Track metrics & monitor log files - collect & track metrics, collect & monitor log files & set alarms to alert operations teams of issues with assets with Amazon’s CloudWatch

Refining & processing

Cloud solutions can help downstream companies to optimize their refining and processing operations by providing real-time data on equipment performance, energy usage, and production rates.

Run simulation & modelling software efficiently - run refining & processing applications, such as simulation & modelling software & refinery optimization systems with Amazon’s Elastic Compute Cloud (EC2)
Access refining & processing data - store and access refining and processing data, including historical and real-time sensor data, laboratory reports, and process models with Amazon’s Simple Storage Service (S3)
Optimize refinery operations - process large volumes of refining and processing data, such as data from sensors & other sources, to optimize refinery operations with Amazon’s Elastic MapReduce (EMR) service
Equipment failures - run code in response to events, such as equipment failures or changes in process conditions, to trigger alerts and initiate workflows with Amazon’s Lambda service.
Real time insights - collect, process, and analyze real-time refining and processing data, such as sensor data, and provide real-time insights into refinery operations with Amazon’s Kinesis service.
Analyze refinery operations - monitor and analyze refinery operations, including monitoring for safety compliance and detecting anomalies with Amazon’s Recognition service.

Supply chain optimization

Cloud solutions can help downstream companies to optimize their supply chains by providing real-time data on inventory levels, production schedules, and delivery times.

Store/access supply chain data - store and access supply chain data, including inventory and shipment records, supplier performance data, and procurement contracts with Amazon S3 (Simple Storage Service).
Run supply chain optimization - run supply chain optimization applications, such as logistics and route optimization systems with Amazon’s EC2 (Elastic Compute Cloud) service.
Optimize transportation routes - collect, analyze, and act on data from IoT devices, such as sensors and devices used in logistics and supply chain management, to optimize transportation routes, reduce transportation costs, and improve safety with Amazon’s IoT (Internet of Things) service.
Optimize supply chain operations - build, train, and deploy machine learning models to optimize supply chain operations, including forecasting demand and optimizing inventory levels with Amazon’s SageMaker service.
Event management - run code in response to events, such as changes in supply chain conditions, to trigger alerts and initiate workflows with AWS Lambda service.
Engage customers & suppliers - engage customers and suppliers, and manage customer relationships with Amazon Pinpoint

Customer engagement

Cloud solutions can help downstream companies to engage with customers more effectively by providing real-time data on customer preferences, purchase history, and product availability.

Seamless contact center - provide customers with a seamless and personalized experience across multiple channels, including voice, chat, and social media to Amazon Connect
Manage customer relationships - engage customers and suppliers, and manage customer relationships through multi-channel marketing with Amazon’s Pinpoint
Create personalized recommendations - create personalized recommendations for customers based on their purchase history, behaviour, and preferences with Amazon’s Personalize machine learning service.
Deliver real-time applications - build GraphQL APIs that can be used to develop applications that deliver real-time and interactive experiences for customers with Amazon’s AppSync service.
Run code in response to events - run code in response to events, such as changes in customer behaviour, to trigger alerts and initiate workflows with Amazon’s Lambda.

By digitizing oil & gas operations, companies can improve bottom line costs, ESG metrics, processes, enhance productivity, streamline workflows, increase efficiency, and improve safety.

As an AWS Partner, Poeta Digital can help you implement the use cases above. We’ve helped numerous organizations to migrate and modernize existing applications to run in a cloud or hybrid environment, modernize existing apps to run in a cloud or hybrid environment, set up or migrate compute resources, storage, data or applications to the AWS Cloud.

Get in touch today for a free consultation!