Oil and gas companies often face significant challenges requiring workover operations to maintain well productivity. Declining production rates, equipment failures, and well integrity issues, such as casing leaks, can compromise output and demand costly interventions. Additionally, formation damage and the intrusion of unwanted fluids like water or gas into the production stream can lead to reduced efficiency, necessitating corrective actions to restore well function and improve production levels.
Managing these challenges also involves adhering to strict regulatory compliance and addressing reservoir management issues, which may require adjustments in completion or stimulation processes. Furthermore, environmental factors such as seismic activity or subsidence may impact well integrity, while regulatory standards often mandate frequent maintenance, or equipment upgrades to ensure operational safety and efficiency. Addressing these factors comprehensively is crucial for sustaining productivity and optimizing resources.
Well Workover Designer is an application for recommendation of workover and optimization activities. It provides the ability to perform comprehensive analysis of the field development and operation to identify potential well optimization opportunities. The application applies a systematic approach and ML-algorithms to assess potential and limitations.
As a result, it generates a pool of recommended field activities aimed at improvement of well performance and production increase.
O&G Upstream Production WI/WO Analysis
Automatic WO & WI activity candidates' selection
The biggest part of workover selection is performed automatically. Engineer must just consider and approve pre-selected activities
Real time data
Adjustable integration procedures give an option to use the latest data for analysis and calculation
Quick-look analysis option
Ultimate amount of data is available in single view for any SME’s need using a single interface
Retrospective analysis
Analysis of historical events. WO and WI effectiveness and analogue well determination with ML-elements
Time savings
Time for finding solution is spending wisely on analysis instead of digging out required data
Workflow approach
Analysis algorithms were built on the base of flexible workflows which makes it easier to tune any algorithm according to specific requirement of a customer
Well performance monitoring
Integrated well modelling tool simulates well performance and indicates data disturbances on real-time data
AI and ML capabilities are transforming oil and gas operations by enabling more efficient and data-driven field management. In field development, AI gathers data from connected sources to feed machine learning algorithms, enhancing predictive capabilities. The all-in-one user interface provides adjustable widgets for extensive reporting and visualization, including map generation with real-time workover and well integrity information. An interactive plot generator allows users to examine cement quality, isolation history, and well trajectory in detail. Additionally, AI-driven candidate selection identifies wells suited for workover and retroactive decline analysis, while advanced well modeling supports artificial lift selection and sensitivity analysis, guiding production optimization efforts effectively.
Improved Engineering Efficiency
Rapid Workover and Well intervention Activity Selection and enhancement of Engineering team decision making and productivity.
Single source of Data
All necessary Petroleum engineering info in one place with flexibility of focus areas in dedicated user interface view.
Time saving
Time consumption goes on analysis instead of WRM data search, data cleaning and workover selection calculations
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