Enhancing a robust data analysis platform for the Oil & Gas industry

Energy
United States
data analysis platform for the Oil & Gas industry
About the project

Our customer is a company focused on the Oil & Gas industry in the United States. They provide a multi-tenant web solution that helps top energy businesses with data analysis and predictions. The platform allows users to upload data about their key infrastructure, such as wells, to perform analyses, including forecasting and economic profitability calculations.

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Client

A U.S. company offering a data analysis platform for the Oil & Gas industry

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Our role

Full-stack development, backend, frontend, and desktop application development

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Country

USA

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Industry

Energy, Oil & Gas

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Team members

3 Software Engineers

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Duration

2 years 

Technologies and tools we used
Logo react
React.js
Mongo db logo
MongoDb
TypeScript logo
TypeScript
Node.js
Node.js
MaterialUI logo
MaterialUI
auth0 logo
Auth0
C sharp logo
C#
Python logo
Python
Google cloud platform (GCP) logo
GCP
Logo react
React.js
Mongo db logo
MongoDb
TypeScript logo
TypeScript
Node.js
Node.js
MaterialUI logo
MaterialUI
auth0 logo
Auth0
C sharp logo
C#
Python logo
Python
Google cloud platform (GCP) logo
GCP
Logo react
React.js
Mongo db logo
MongoDb
TypeScript logo
TypeScript
Node.js
Node.js
MaterialUI logo
MaterialUI
auth0 logo
Auth0
C sharp logo
C#
Python logo
Python
Google cloud platform (GCP) logo
GCP
Challenges

The client’s platform required significant development, with a particular focus on the front end. Our team was tasked with developing and implementing several key modules that were distinct pieces of functionality. This included handling long-running background operations and building complex features for data management and analysis. 

Solution

Honeycomb Software engineers were tasked with enhancing the platform’s functionality. A key part of this effort was a complete rewrite of the notification system, a crucial component for providing users with real-time updates on long-running background tasks, as well as the development of several new features. 

  • Real-time Notification System: We completely re-engineered the notification system to provide real-time updates for users on the progress of time-consuming background operations, such as economic or forecast runs. The system was designed to show task status, including progress percentages and errors, and was integrated with server-to-client communication to provide instant updates.
  • Merge Scenarios & Merge Projects: The engineers implemented features that allow users to merge two scenarios or two entire projects. The merge process involves combining data and handling potential conflicts. For project merging, the system automatically handles duplicate module names. 
  • Data Management Features: We added the ability for users to update and delete imported production data for wells. Additionally, a new entity called “Wells Collections” was implemented, which allows users to group multiple wells together for easier use in scenarios. 
  • Embedded Lookup Tables (ELTs): A complex feature was implemented to provide users with the ability to create and use dynamic data tables within the advanced economic models. These tables get values for a particular well to be used during an economics run. 
  • Desktop Data Synchronization Application: Our team helped develop a desktop application from scratch to synchronize data from a client’s local environment with the web platform. This was a separate but critical component of the overall project.
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Result

The Honeycomb Software team significantly improved the platform, making it more functional and robust with a range of new and enhanced features. The implemented solutions gave users real-time feedback on long-running tasks and introduced new ways to manage and analyze data through merging and grouping functionalities. These improvements directly strengthened the platform’s core value proposition. 

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