Downhole digitization relies on digital twin technology, collects dynamic information of surface equipment and process data, and combines it with static parameters such as drilling engineering data, drilling recording data, and drilling foundation data. Constructs downhole situations and uses cloud rendering technology to realize visualization of downhole situations.
Systematic analysis of the oilfield industry, fully interpreting the current situation of the industry
Technology Trends
Digital twin technology is moving towards intelligence, integration and real-time, enabling faster processing of large amounts of data and full digitization of downhole facilities.
Digital Twin Presentation
As the underground is invisible and untouchable, the exploration and development of oilfields often rely on geologists' empirical judgment. Digital twin technology realizes accurate simulation and real-time monitoring of the entire life cycle of oil and gas facilities.
Oilfield Data Mining
Lack of basic data analysis of oilfield downhole equipment operation can't guide accurate equipment maintenance and repair, increase additional maintenance costs, and can't optimize the operation process in time to reduce energy consumption.
Accidents are Difficult to Prevent
It is not possible to find out various working conditions of underground operation in time, it is difficult to identify factors that may lead to accidents and take corresponding preventive measures, and it is not possible to find out and deal with potential safety hazards in time.
Value Empowerment
Dramatically improve the safety and efficiency of oilfield extraction and facilitate the digital transformation of the industry.
Data docking system efficiency improvement30~50%
Integrate data from existing systems, integrate static and dynamic data, break system silos, and realize seamless docking of data from different sources and formats through data integration technology to improve data availability and ensure data security and compliance.
Reduced equipment failure rate10~20%
Through the detection of equipment operating data, analyze the operating health status of the equipment, carry out fault diagnosis of the equipment, predict the possible problems of the equipment, so as to carry out preventive maintenance, reduce the downtime of equipment failures, and reduce the maintenance costs and production losses.
Integrated control efficiency improvement40~60%
It realizes centralized monitoring and management of all aspects of production, and through the visual display of downhole data, managers can quickly grasp the production status, adjust the production plan in time, optimize the allocation of resources and improve production efficiency.
Enhanced capacity for supported decision-making50~70%
With the help of big data analysis and artificial intelligence technology, valuable information is extracted from massive data to provide scientific basis for decision-making, and management level and decision-making efficiency are improved through predictive analysis and data-driven management.
Core Features
Solve the technical difficulties and control difficulties in the oil and gas industry, and comprehensively empower the oil and gas development to improve quality and efficiency.
The main construction work of oil and gas development is downhole construction work, with the help of dynamic parameters such as dynamic information of surface equipment and dynamic process data, as well as static parameters such as physical exploration, drilling, logging and logging to realize the digital twin presentation of the progress of downhole work.
Data docking and system integration is a key step in realizing downhole digital twins in oilfields, which realizes real-time docking of operation site data, realistically restores the situation of the operation site, and improves the management efficiency.
On the basis of single-well logging data, identify and correlate the types of rock formations at different plumb depths, compare the logging parameters (geologic spread, porosity, electrical conductivity, etc.) with neighboring well profiles in a two-dimensional plane, draw a two-dimensional geologic plane, and expand the geologic spread among different wells in the selected block, and draw a three-dimensional geologic body after comparing multiple wells.
By constructing the downhole tool simulation database, the simulation engineering design of downhole tool strings can be realized in the 3D rendering scene, including the name, model, description and other parameter information. It provides designers with a 3D visualized engineering design interface, which can realize the design of different downhole tool combinations by simple “drag and drop”. After completing the design, it can be presented in the operating wells within the block.
Expand the application scenarios of the platform, deepen the application of production operation data, and analyze the single-well curves of different dimensions on the basis of the existing construction, combined with the business production requirements; predict the single-well production by using the formula for calculating the decline rate of reservoirs such as exponential decline, moderated decline, hyperbolic decline, and attenuation decline.
To establish a unified production control and command platform, realize the connectivity with various professional production systems, integrate information of various boards and professions, realize the functions of production dynamics, resource distribution and dynamics, scheduling and command, operation optimization, real-time monitoring, prediction and early warning, emergency response, production performance, etc., and support comprehensive management and auxiliary business decision-making, centralized scheduling and unified command.
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