Innovative exploration technologies
INTEGRATION OF EXPLORATION TECHNIQUES
The Robust Electromagnetic and Seismic Data Integration (ROKES) ROKES prospecting technique uses an electromagnetic model of a reservoir as a ‘flter’ for geological models. ROKES is a joint product of Gazprom Neft Scientific and Research Centre and Irkutsk Electroprospecting Company. technique, a new approach to geological modelling, was test-piloted successfully. It was designed to improve prospecting accuracy and cost effciency based on the integration of seismic and electromagnetic survey data. Integration of exploration techniques optimises the number of exploration wells and has already reduced drilling costs in Western Siberia.
A PRIORI INFORMATION
In 2018, the Company and IBM Research Brasil launched the Cognitive Analytics for Geology project. The project aims to introduce cognitive computing into geological data processing and is expected to create a smart data processing technology that will accelerate decision-making and feld development processes.
IMPROVEMENT OF DATA INTERPRETATION
In 2018, the Company and the Skolkovo Institute of Science and Technology developed software algorithms that will automate petrophysical modelling and streamline project-related decisions.
Another project started in 2018 aimed to measure saturation, porosity and permeability of the Achimov Formation (AF). In 2019, a pilot programme will be launched to select an optimal confguration of geographic information systems for AF wells. According to current estimates, the optimal set of instruments will save up to ₽ 2.52 m per well on geophysical well logging.
An object-oriented approach was tested for 3D seismic data correlation. Test results were integrated into available geological data to identify the specifcs of reservoir distribution in each formation. This will improve accuracy of development simulation models that will be built later.
COGNITIVE GEOLOGY DIGITAL PROGRAMME
Implementation of the digital exploration programme will shift the focus on the need for machine learning and digital modelling competencies. The Cognitive Geology programme will improve the following indicators by 2025:
- –30% reduction in exploration time;
- +30% improvement in unit economics of exploration activities;
- +30% more informative data obtained.
The Company prototyped Virtual Laboratory, a solution for core and ﬂuid analysis. Its online app is capable of monitoring instrument utilisation, reducing measurement time and streamlining the entire laboratory test cycle. Key data is obtained faster and can be fed into the model.
PROBABILISTIC FORECASTING OF RESERVOIRS
Methodology was developed to use seismic inversion for probabilistic forecasting of reservoirs. The technology saved over ₽ 500 m by positioning exploration wells more precisely (fewer wells were drilled to obtain suffcient information).