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Investment project management

The project is aimed at automating the collection, aggregation and control of production and economic indicators of investment projects in an oil and gas company

Client

Investment planning department in a vertically integrated oil company.

The main activity of the department is aimed at performing a full cycle of investment planning. The calculation of an investment project requires the participation of several departments.

The methodology for conducting the functional business process “Investment planning” includes

Problem

To consolidate data, subsequently process it and perform calculations, employees used Excel – manually configured macros, complex formulas and reports compiled in a free, unregulated form.

The main problems of the Customer were:

Tasks

Key objectives of the project

01.

To improve the efficiency of investments in production projects.

02.

Improve the quality, speed and accuracy of calculations.

03.

Set up cross-functional interaction.

04.

Improve the timeliness and quality of decision making.

05.

Automate routine tasks.

06.

Optimize business processes.

07.

Create a single database.

Technologies

Client

HTML5, CSS3, Angular

Server

.NET Core, WebSockets

Data

PostgresPro, Hadoop, Spark, Parquet

Solution

1 (2)
Automation of information exchange with accounting systems of technological indicators and cost accounting systems has been carried out:
    • Automatic loading of actual costs and production indicators from external accounting systems at the monitoring stage;
    • Fast and regular updating of data;
    • Reliability of the data obtained;
    • Obtaining planned data, both forecast and actual;
    • Flexible configuration of obtaining actual costs.
2
A single space has been created for joint work of departments participating in each stage of the life cycle of investment projects:
    • Quick viewing of information;
    • Displaying information received from services and related systems in one place;
    • Providing access to employees, experts and company management;
    • Storing historical data.
3 (2)
A tool for automating procedures for examination and approval of investment projects has been developed:
    • Modular planning of investment projects. Modules: well, cluster, field, license area;
    • Loading data from configured templates;
    • Coordination of data provided by subordinate units and downloaded from related systems;
    • Recording the history of provision and approval of data on an investment project;
    • Getting through the data approval stage with the heads of departments.
A system for automatic calculation of economic efficiency and reporting has been prepared:
    • Mathematical calculations of performance indicators according to scenarios: changes in macroparameters (oil and gas prices, discounting and inflation dates, etc.), use of different methods (calculation for the project as a whole, well-by-well calculation);
    • Formation of a passport in the form of a multi-page report with graphs and tables with the ability to export to Excel;
    • Creation of various reports in terms of the project, project portfolio, subsidiary and the company as a whole;
    • Generation of a report on monitoring the main indicators of the active portfolio.
5
The amount of time resources required to collect and coordinate data has been reduced:
    • Reduction of time resources for the formation of a project portfolio;
    • Conducting project examination and monitoring both by individual experts and by the department;
    • Possibility of project approval and monitoring;
    • Add comments to projects and portfolio in real time;
    • Automatic sending of notifications.

The system has a convenient graphical data output for visual tracking of all investment project indicators.

Project results

The implementation of the project led to a significant improvement in investment project management processes in a vertically integrated oil and gas company.

Result of implementation

Effects

by 12%

increased investment efficiency

10 times

the speed of calculating indicators has increased

by 2 times

reduced the time for planning processes

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