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Monitoring KPI and performance indicators of oil and gas production

The platform monitors indicators at the holding level with the ability to drill down to the well level and provides the ability to analyze the reasons for deviations in indicators from planned ones.

Client

Vertically integrated oil and gas company

Problem

The main problem

Lack of suitable tools for managers to perform online monitoring of production status and plan-factor analysis for a selected period, including analysis of the causes of deviations of actual from planned indicators. Lack of the ability to perform analytics straightaway in online mode.

Tasks

Key objectives of the project

01.

Reducing production risks and costs, increasing the efficiency of management decisions

02.

Automatic monitoring of oil and associated gas production indicators , tanker occupancy, maintenance and repair status , industrial safety and capital construction costs

Technologies

Client

HTML5, CSS3, Angular

Server

.NET Core, WebSockets

Data

PostgresPro

Solution

Color indication of critical deviations for key performance indicators:
    • Calculation of threshold values for indicators
    • Focusing the user’s attention on critical deviations using color indication
Analysis and control of the reasons for deviations of actual production indicators from planned ones:
    • Calculation of deviations of indicators;
    • Determining the influence of related indicators
    • Visualization of factor analysis
    • Entering and displaying reasons for deviations
Formation of presentation and reporting materials:
    • Generation of presentations based on KPI dashboards;
    • Data download in the form of Excel reports;
    • Reporting on reasons for KPI deviations

The platform monitors indicators at the holding level with the ability to drill down to the well level and provides the ability to analyze the reasons for deviations in indicators from planned ones.

Project results

Results of implementation

Effects

by 3 times

reduced the number of mistakes in data and indicator calculations

by 10 times

Increased the speed of KPI analysis

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