Intelligent Reservoir Geology Solutions:

Intelligent Oil and Gas Production Interpretation –

Intelligent Seismic Facies Recognition: Utilizing machine learning and deep learning to achieve data preprocessing, feature extraction, MCC calculation, model training, and seismic facies classification.

Deep Learning Well Logging Lithofacies Recognition: Automatic recognition and classification of well logging data, enabling the categorization and identification of waveform features, frequency domain features, and time domain features.

High-Precision Intelligent Fault Recognition: Building a massive fault training sample library and employing three-dimensional high-precision convolutional neural network technology to learn and predict faults.

High-Precision Intelligent Stratigraphic Horizon Tracking and Interpretation: Using a small number of stratigraphic skeleton samples and neural network technology to significantly enhance the efficiency and accuracy of automatic stratigraphic horizon tracking.

Intelligent Reservoir Prediction: Leveraging AI algorithms to predict and evaluate reservoirs, tracking and forecasting the distribution, thickness, and lithology of reservoirs.

Intelligent Well Logging Interpretation –

Intelligent Prediction of Well Logging Physical Parameters: Based on a regression model derived from machine learning theory, recognizing the nonlinear mapping relationship between well logging data and formation physical parameters to accurately predict porosity changes in reservoir intervals.

Intelligent Prediction of Well Logging Lithofacies Categories: Establishing fuzzy rules between core porosity and petrophysical well logging, extracting optimal parameters for fuzzy clustering, and proposing a new multi-well logging curve data matching algorithm.

Intelligent Stratigraphic Division from Well Logging: Creating a target mapping function from well logging curves to lithofacies to predict the lithofacies categories corresponding to uninterpreted well logging data.

Intelligent Drilling Solutions:

Intelligent Drilling Design –

Intelligent Geological Drilling Design: AI algorithms learn from historical geological data and design materials, intelligently outputting more accurate geological designs to provide better references and risk warnings for engineering design.

Intelligent Engineering Drilling Design: Based on learning from historical engineering data and design materials, AI actively outputs more precise engineering designs, enabling safe, efficient, and rapid achievement of drilling objectives.

Intelligent Drilling Geology –

Intelligent Geological Risk Analysis: Neural networks extract potential features of faults, suppress noise interference, and establish a nonlinear mapping relationship from seismic data to target faults for rapid intervention.

Intelligent Real-Time Geological Steering: AI automatically identifies characteristic data to determine the current stratigraphic horizon, facilitating early intervention and control measures, thereby achieving precise geological steering and improving drilling encounter rates.

Intelligent Drilling Engineering –

Intelligent Risk Warning: Deep learning with big data identifies engineering risk points and formulates countermeasures. It also sets risk thresholds in multiple dimensions, intervening early to control and prevent complex accidents.

Intelligent Real-Time Parameter Optimization: Machine learning algorithms analyze the relationship between data elements and drilling speed to obtain predictions. Based on the drilling speed prediction model, it outputs options and quantitative values for optimizing drilling parameters.

Intelligent Engineering Measure Optimization: Intelligently analyzes wellbore fluid, friction, and other data to judge downhole conditions, optimizing reaming and short trips while ensuring safety, significantly reducing drilling cycles.

Intelligent Fracturing Solutions:

Intelligent Optimization of Fracturing Parameters –
Based on massive historical single-well data, a big data model establishes the mapping relationship between geological parameters, engineering parameters, and EUR. With optimal EUR as the core, it intelligently evaluates the matching between engineering parameters and formations, achieving intelligent optimization of fracturing design parameters.

Intelligent Real-Time Sand Plugging Risk Warning –
Establishes a risk prediction model to monitor sand plugging risks in real-time and optimize fracturing parameters, thereby reducing the incidence of sand plugging.

Intelligent Drilling Engineering –
Based on a large model, establishes the mapping relationship between implicit engineering features and EUR, clarifying the optimal direction for one or several key implicit engineering features. It also establishes the mapping relationship between implicit engineering features and engineering parameters, optimizing construction parameters in real-time based on the mapping relationship between implicit engineering features and EUR.

Intelligent Oil and Gas Production Services:

Intelligent Oil Production Engineering –

Schematic Diagram of Fracturing Construction Parameter Optimization:
Completes model training based on geological and engineering parameters from multiple wells in the same block, establishing the mapping relationship between geological and engineering parameters and EUR.

Intelligent Layered Injection-Production:
Applied to injection-production well groups to solve problems such as low water drive efficiency from blanket water injection, imbalanced injection-production ratios, and prominent interlayer conflicts.

Intelligent Artificial Lift:
Applied to oil wells relying on artificial lift to solve issues such as unreasonable lift parameters and low lift efficiency.

Intelligent Gas Production Engineering –

Intelligent Energy Optimization Management for Well Groups:
Applied to platform cluster gas wells to solve problems such as difficult recovery from water flooding in low-pressure gas wells, intermittent gas lift, and low efficiency of single-process water drainage.

Intelligent Plunger Lift for Water Drainage and Gas Production:
Applied to various water-producing gas wells to solve issues such as gas well liquid accumulation and water flooding, severe slippage during wellbore liquid lift, and unreasonable plunger operation regimes.

Intelligent Foam Drainage and Gas Production:
Applied to all stages of the gas well lifecycle to solve problems such as high labor costs associated with traditional chemical addition and unreasonable chemical addition regimes.

Intelligent Oil and Gas Production Interpretation –

Interpretation of Water Cut Increase Law in Low-Permeability Oil Wells:
By collecting and normalizing large amounts of water cut data, well logging and testing static data, fracturing改造 data, and production parameters from low-permeability oil wells, an interpretation chart for the water cut increase law in low-permeability oil wells is obtained, providing a theoretical basis for water control in low-permeability oil well production.

Interpretation of Gas Well Liquid Accumulation Law:
By collecting and normalizing data on liquid accumulation rates, liquid accumulation heights, producing formations, pressures, gas production rates, and pipe diameters from numerous gas wells, an interpretation chart for the gas well liquid accumulation law is obtained, enabling prediction of single-well liquid accumulation rates and heights and early prevention of gas well water flooding.

Interpretation of Full Lifecycle Law for Gas Wells:
Through fitting the production cycle laws of numerous gas wells, interpretation charts for different lifecycle lengths of tight gas and shale gas are obtained, enabling prediction of single-well lifecycles and providing a theoretical basis for selecting supporting technologies.

Interpretation of Inflow Performance Relationship (IPR) Law for Horizontal Wells:
By collecting large amounts of production and flowing pressure data from horizontal wells, a new IPR curve interpretation chart is drawn, providing a theoretical basis for stable production in horizontal wells.

Interpretation of Liquid Production Decline Law in Low-Permeability Oil Fields:
By collecting and normalizing large amounts of liquid production data, well logging and testing static data, fracturing data, and production parameters from low-permeability oil wells, an interpretation chart for the liquid production decline law in low-permeability oil wells is obtained, providing a theoretical basis for liquid control in low-permeability oil well production.

Intelligent Oil and Gas Production Design –

Layered Injection-Production Linkage Optimization Design:
Design of separate injection and production intervals
Design of injection-production parameters
Design of injection-production linkage

Optimization Design of Artificial Lift:
Optimization of lift methods
Optimization of lift parameters
Optimization of tubing string structure

Energy Optimization Management Design for Gas Well Groups:
Design of energy-optimized pipeline networks
Design of energy-optimized regimes
Design of composite drainage processes

Design of Plunger Lift for Water Drainage and Gas Production:
Optimization of plunger types
Optimization of plunger operation regimes
Optimization of depth setting for stabilizers

Design of Foam Drainage and Gas Production:
Optimization of chemical ratios
Optimization of chemical addition regimes
Optimization of chemical addition methods

Formation Monitoring Solutions:

Intelligent Real-Time Dynamic Fiber Optic Monitoring of Wellbore Integrity for Gas Storage Wells –
Deploys an intelligent fiber optic monitoring system to monitor and warn in real-time about wellbore leaks, annulus protection fluid level abnormalities, tubing string vibrations, downhole pressures, and injection-production dynamics.

Intelligent Fiber Optic Leak Point Monitoring –
Includes real-time monitoring of distributed temperature and acoustic signals, low-frequency strain signals, leak point abnormality monitoring and warning, positioning, tubing string vibration evaluation, and leak point cause analysis.

Intelligent Fiber Optic Oil and Gas Production Monitoring –
Deploys an intelligent fiber optic monitoring system to monitor wellbore temperature profiles, acoustic vibration signals, and downhole pressures in real-time during production. Intelligent analysis and interpretation provide stratigraphic horizon production data, guiding the optimization of production regimes and improving recovery rates.

Intelligent Fiber Optic Fracturing Monitoring –
Deploys an intelligent fiber optic monitoring system to dynamically monitor fluid and sand entry into segments, fracture development, and fracturing impact during the fracturing process, assessing fracturing effects.

Equipment and Facility Monitoring Solutions:

Intelligent Equipment and Facility Monitoring –
The Equipment Health Management System is a new type of integrated platform for factory equipment engineering, managing equipment hardware, operating software, equipment data, parameters, models, and more. Engineers no longer need to navigate between various systems. Based on industrial internet technology and equipment classification strategies, it achieves full closed-loop management of advanced models for intelligent maintenance such as TPM (Total Productive Maintenance), TBM (Time-Based Maintenance), CBM (Condition-Based Maintenance), and PHM (Predictive Health Management).

Smart Inspection Management Software:

We are committed to empowering through digital technology, constructing a smart, environmentally friendly, and secure digital application ecosystem around the entire asset lifecycle to maximize asset value and facilitate intelligent and digitalized asset management for our clients.

Intelligent Reservoir Geology Solutions:

Technical Service for Evaluation of High-Quality Reservoirs and Optimization of Development Targets in the Shaximiao Formation of the J Tight Oil and Gas Block in Southwest China

Research Contents:

Detailed Reservoir Characterization: Based on mud logging and well logging interpretation, utilizing petrophysical analysis and forward modeling to clarify the seismic response characteristics of the 8th sand group and precisely delineate reservoir distribution.
Reservoir Classification: Integrating mud logging and well logging results to ascertain the channel structure and hydrocarbon source fault development of the 8th sand group in the Qiulin Block, and conducting classification evaluations.
Comprehensive Evaluation of High-Quality Reservoirs: Synthesizing data from drilling, oil testing, and pilot production to classify and comprehensively evaluate high-quality reservoirs in the 8th sand group.
Achievements:

Evaluated 4 favorable targets
Deployed 5 well locations
Intelligent Drilling Solutions:

Geo-Steering GPT Horizontal Drilling State Assessment:
Real-time assessment of bit penetration through layers, formation angle conversion, and formation identification during horizontal drilling.

Intelligent Fracturing Solutions:

Fracturing Design GPT Fracturing Correlation Analysis:
Based on geological, engineering, and production multivariate data, using clustering, dimensionality reduction, and multi-factor comprehensive evaluation to identify key controlling factors.

Intelligent Oil and Gas Production Solutions:

Intelligent Layered Injection and Production Service:
For water injection development blocks, employing the NSGA-III downhole intelligent measurement and control layered injection and production system for precise layered injection and production. Real-time data on downhole layered pressure, temperature, and flow rates for injection well groups is collected and input into the NSGA-III downhole intelligent measurement and control layered injection and production process brain. This intelligently outputs adjustments for water and oil nozzle sizes, precisely optimizing the injection-production ratio, maintaining injection-production balance, mitigating interlayer conflicts, reducing ineffective water injection, and improving water drive oil production efficiency. Simultaneously, through offline database and knowledge base data reading and fitting, the layered injection and production design is optimized.

Application Performance:
Field application testing of intelligent layered injection and production technology in Shengli Oilfield and Liaohe Oilfield has achieved a 100% success rate for intelligent adjustment of water and oil nozzles, with significant production increases in well groups.

Formation Monitoring Solutions:

Intelligent Fracturing GPTs System DTS Analysis:
Evaluating leak point shape and size based on sound intensity and frequency band information, and providing suggestions for leak point repair solutions.

Fiber Optic Leak Point Monitoring GPTDAS Analysis:
Accurately determining leak point locations based on temperature and sound information.

Equipment and Facility Monitoring Solutions:

Facilitating Equipment Health Management at Tianjin Petrochemical:
Replacement of wireless sensors for temperature collection in reciprocating compressor gas valves.
Achieving unified management of multi-source parameter collection for equipment.
Enabling autonomous configuration and organization of equipment, measurement points, and data.
Implementing multi-dimensional chart analysis tool applications.

Production Monitoring and Operational Optimization in an Oilfield:
Based on collected real-time data and warning rules, achieving real-time warnings for oil production, gas production, water injection, gathering and transportation processes, as well as environmentally sensitive areas. Utilizing smart cameras to achieve warnings for personnel intrusion and dangerous action recognition. Leveraging a big data-based intelligent warning model to achieve gas well condition analysis, pumping unit dynamometer card diagnosis, and trend warnings for key equipment parameters.