Project Title: Cloud-Collaborative Bi-Directional Fitting Geological Steering Technology

Participating Enterprise:Beijing Blue Ocean Energy Technology.Inc

Award Received: Scientific and Technological Progress Award - Bronze Award

Achievement Level: International Advanced Level

Project Number: ECF-2025-SET-1008

Main Participants: Liu Guande, Sun Lifeng, Lin Jun, Nong Jinling

Expert Review Comments:
International advanced level. This project innovatively integrates a “bi-directional fitting” geological modeling algorithm with a “cloud–client” collaborative architecture to establish a highly efficient and precise geological steering technology system. Through real-time interconnection between the client and the cloud platform, multi-source data are dynamically integrated to enable remote collaborative decision-making, significantly improving the modeling accuracy and operational efficiency of geological steering.
The results have been successfully applied in Xinjiang, Changqing, Southwest, and Shengli oilfields, serving more than 400 horizontal wells. The technology has greatly improved high-quality reservoir encounter rates, generating remarkable economic and social benefits. By breaking data silos and optimizing decision chains, the project provides a replicable technological pathway for digital and intelligent oil and gas exploration, demonstrating strong industrialization and promotion potential.

Main Innovations:

The cloud-collaborative bi-directional fitting geological steering technology adopts a “client + cloud platform” hybrid model.

• The PilotGS Navigator geological steering client software utilizes an advanced bi-directional fitting geological modeling method, incorporating interactive trajectory design and rapid offset-well stratigraphic comparison tools. This enables fast and precise geological steering modeling and enhances reservoir encounter rates.

• The Blue Ocean Ark UniHori integrated cloud platform for horizontal well geological and engineering operations integrates multi-source real-time data, streams them to the client, and synchronizes the client’s steering models in real time. It allows multiple users to view shared client model outputs and assign decision schemes online, breaking down data silos, shortening decision-making chains, enabling remote expert collaboration, and improving geological steering efficiency.

  
  

Main Uses and Technical Principles:

Main Uses:
In horizontal drilling of both unconventional and conventional oil and gas reservoirs, the technology analyzes the relationship between the drill bit and formation to adjust trajectory control, ensuring the bit remains within the target reservoir zone. This maximizes reservoir penetration and enhances single-well productivity.
By integrating with the cloud platform, it enables real-time remote collaboration and decision support, forming a centralized remote decision-making system.

Technical Principles:
Combining sequence-based correlation and model-based geological steering analysis methods, the system projects the logging-while-drilling (LWD) MD curve into the TVT domain and vertically fits it to reference well logs to establish a cross-sectional property model.
It then performs horizontal fitting with real-time drilling logs to compute formation dip angles and update the geological model. A trajectory design algorithm generates the planned drilling trajectory.
Through the client’s cloud platform login, real-time data streams and synchronized model outputs are obtained via integrated interfaces, enabling continuous model updates and dynamic feedback.

Technical Applications:

The technology has completed R&D, productization, and large-scale industrial promotion, achieving significant economic benefits and widespread market recognition.

1. Application Scale:
   To date, the technology has been successfully applied in major domestic complex oil and gas regions, including CNPC Xinjiang Oilfield, Changqing Oilfield, Southwest Oil & Gas Field, and Shengli Oilfield.
   More than 30 organizations have adopted it, with over 400 wells served and a cumulative drilling footage exceeding 500,000 meters.
   Application depth range: 2,000–5,000 meters.

2. Application Results:
   The technology’s performance far surpasses that of traditional geological steering methods, with remarkable improvements in key indicators:

• Geological modeling and analysis efficiency improved by 40%;

• Average reservoir encounter rate increased by 5%, reaching over 90% on average, with some complex wells improving by more than 30%;

• Data import and utilization efficiency improved by 60%;

• Multi-party collaborative decision efficiency increased by over 40%, achieving centralized utilization of expert resources;

• Trajectory control precision improved by approximately 30%, ensuring wellbore quality and reducing drilling risks;

• The efficient steering workflow shortened drilling cycles by 2–3 days on average, substantially reducing rig day costs.

The application results have been highly praised by client organizations, with multiple letters of recommendation received in recognition of its outstanding performance and value.