The Oil, Gas and Energy commercial enterprises must concentrate on the demand-to-production ratio. Analysis of a burdensome and vast volume of data from numerous data sources is required by production. Constant monitoring is required for safety issues in order to optimize and ensure critical operation parameters. Regardless of any calamity; storms, unrest; which is out of the control of the enterprise, gas, oil and energy must flow throughout the community. A system that is scalable enough to be responsive to its customers, employees and suppliers is the key to dependable, secure operations which also has the capacity to predict trends, easily monitor results and take corrective action quickly and with confidence.
Oil, gas and energy suppliers are required to comply with stringent regulations, undergo rigorous scrutiny from customers and the community and conduct transparent operations. Downtime creates customer dissatisfaction and keeping up with the demand for power and fuel supply in an ever-changing, growing population and economy is difficult, at best. Community and regulator relationships, partner and supplier relationships, processes, quality programs, green energy initiatives and infrastructure investments demand attention. If the energy enterprise is to achieve sustained success, it must be able to incorporate data from various sources, assemble, filter and arrange that data and analyse and present the data in a way that is brief and supports rapid, confident decisions.
- Upstream Analysis: Model guidance and rapid benchmarking.
- Cross Stream Analysis: Understanding contrasting data.
- Downstream Analysis: Industry publications and client portals.
- Obtain complete business intelligence source to metrics and establish, project supervision, financial analysis, field data integration, master data management, infrastructure management and supply chain management.
- In order to achieve consistent corporate information for regulatory compliance workflow, automation is attained.
- Production is compared with industry standards for delivery schedules, quality and pricing.
- Opportunities are analysed for fields, wells and units.
- Communicate business performance measurements across the organisation with personalised business intelligence reporting.
- Manage financial and operational variances.
- Perform analysis for service, clients, revenue and volume and consolidate data from core business applications, e.g., production, reserves, accounting.
- Optimise distribution and production using distribution channels, processes, programs and financial metrics.
- Provide a 360° view of regulations, products, services, production, distribution, sales, marketing, programs and other information.
- Profit analysis is performed by business unit or product, along with finding and retaining the most profitable products.
Oil and Gas analytics is heavily focused on geography. Business decisions such as abandonment costs, local human resources, foreign entity taxation, legal issues, and operating/lease agreements need to be effectively managed in order to maximize downstream profits while minimizing upstream costs.
With the help of Bilytica experts you can combine geographic views with your other analyses, including powerful dashboard highlighting and filtering that relates information between them. By selecting certain regions or even individual wells, business information updates automatically.
Benchmark and Model Analysis
Quickly create benchmarks and model guidance
Analysis of your natural resources portfolio at all stages of development is a challenging task. Common research tasks can take days to complete due to the complexity of the business environment, the complex subject matter, and the sheer volume of information available.
Our solutions allows your teams to quickly identify resource allocations, reservoir output trends, and profile patterns using visual analysis – all within a powerful application suite that can be used by anyone who knows Excel.
This view shows an overview of your well and reservoir portfolio with built-in “reference lines.” These lines can include basic banding such as six sigma distributions, or they can be customized to your needs. Imagine being able to apply an injection model – for example Co2 versus H2O – to this view to see which wells responded with more or less water or oil output.
As you explore, you will naturally want to apply filter criteria – available on the dashboard directly – to see the actual data versus your expected benchmarks. Our solution eliminates the need to create complex statistical calculations by providing visual analytics for these calculations.
Create client portals and industry publications
How can you get your downstream analysis to teams in a way that is visual, interactive and easy? How do you build online portals – internal or external – without suffering from the cost and inflexibility of a slow-moving business intelligence platform?
Our solution lets you construct information portals without heavy development. The interactive dashboards can be embedded in a broader intranet or extranet portal initiative, or used as a stand-alone system. The level of data access and interactivity is under your control and can vary according to your needs. Advanced users can be given access to the underlying data for one-click import into their own spreadsheets.
This dashboarding application lets you compare upstream and downstream elements of an asset portfolio inside a cohesive view. In this example, common but unrelated criteria such as well production, injection levels, and revenue factors are combined. The visual is dynamic and can be directly controlled by the web audience. Here we can compare individual wells to each other, across regions, reservoirs, and time periods
Whether information is for internal use or for the public, presenting rich and detailed industry statistics is difficult without using our solutions. Common marketing tasks – the one shown here contains information oil and gas companies generally provide to the general public – can take months to accomplish.