Accenture Global Solutions Limited

China National Offshore Oil Corporation

China National Offshore Oil Corporation Research Institute

Shanghai Zhenhua Heavy Industries Company Limited

No. 2 Engineering Co. of Cccc First Harbor Engineering Co., Ltd.

No.2 Engineering Company Ltd. of Cccc First Harbor Engineering Company Ltd

Bin Xie

Guo Ma

Guanyi Sun

Wenhui Xie

Zhe Jiang

Junrong Wang

Wei Zhang

Hui Shen

Wei Xu

Jianjun Zhang

Ling Zhu

Fang Hou

Ming Lin

Xiaopei Cheng

Bo Meng

Yikai Wu

Hong Xiang

Zengjun Li

Xuejun Wang

Zhenjie Tao

Hengyi Zeng

Faqiang Su

Dejin Liu

Jinbao Liu

Xiangwei Zhang

Xiangrong Zhou

Mingxiang Wang

Linlin Yuan

Hongbo Wei

Chunfeng Zhu

Ziyang Bi

Jiangwei Song

Gang Yin

This disclosure relates to industrial data services, data modeling and applications for controlling an industrial operation. In one implementation, a platform is disclosed for allocating a data modeling request to a collaborative group of experts based on a two-dimensional data modeling flow data structure and a multilayer resource allocation graph to obtain a data model for controlling the industrial operation. The two-dimensional data modeling flow data structure and the multilayer resource allocation graph are established from an industrial graph knowledgebase using various data analytics and machine learning techniques.

Industrial data service, data modeling, and data application platform

A secure data system facilitates efficient searching of extensive data storage layers, e.g., a blockchain. The system may create an index for data elements of a predefined type recorded in the blockchain. The system may generate the index by invoking executable instructions stored in an executable data element (e.g., a smart contract) recorded in the blockchain and associated with the predefined type of data elements. The index facilitates fast query into the blockchain for the data elements of the predefined type.

Data storage layer index for efficient information retrieval

Cloud service based on container technology provides a lightweight, portable, but robust architecture for deploying service applications. Service volume and resource requirement for a typical modern-day application may fluctuate dramatically in time. A dynamic resource allocation scheme based on machine learning algorithms and executed by the cloud for applications deployed as independent containers allows for efficient resource usage and improvement of quality of service for the applications.

Dynamic resource allocation for application containers

The present application discloses a dredging system for a pre-paved gravel foundation bed surface in open sea deep water, including a dredging mechanism, which includes a dredging suction head, a power component and a dredging pipeline, wherein the dredging suction head is connected with the dredging pipeline; the dredging pipeline is communicated with the power component; the dredging suction head includes at least one ridge surface suction port and at least one furrow suction port; the openings of all the furrow suction ports are lower than those of all the ridge surface suction ports; a lifting mechanism, which is connected with the dredging suction head and is used for lifting the dredging suction head to the gravel foundation bed surface; a moving mechanism, which is connected with the lifting mechanism and is used for driving the dredging suction head to move within a dredging range of the gravel foundation bed surface. By the adoption of the dredging system for the pre-paved gravel foundation bed surface in the open sea deep water of the present application, the dredging suction head includes the ridge surface suction ports and the furrow suction ports, and may suck mud on the top surfaces of gravel ridges and the mud in furrows between two gravel ridges at the same time, thereby guaranteeing the dredging quality of the gravel foundation bed surface and improving the working efficiency. The dredging system is simple in structure, convenient to use and good in dredging effect.

Dredging system and dredger for pre-paved gravel foundation bed surface in open sea deepwater

The present disclosure relates to a grouting and welding combined connection joint and an offshore installation method thereof, characterized in that: it comprises a set of grouting systems disposed inside of the annular space formed by an inner shell of the central pore canal of a column with large cross section and an outer wall of a column with small cross section, as well as a group of brackets welded on a top deck of a column with small cross section and an inner shell of the central pore canal of the column with large cross section. The grouting and welding combined connection joint provided by the present disclosure has advantages of being able to adapt to the connection of different dimensions of columns, and having simple offshore installation, highly reliable structural safety and low cost.

Grouting and welding combined connection joint applied to a deepwater floating type platform and an offshore installation method thereof

An integrative deep draft floating production platform with unconditional stability and an offshore installation method thereof are disclosed. The platform comprises an ring ballast tank at the bottom, some columns with small cross sections, an ring buoyancy tank at the middle part, some columns with large cross sections, and an upper drilling equipment and oil gas processing module. The ballast tank adopts a permanently fixed ballast, and the tank is internally filled with weights to ensure that the center of buoyancy of the platform is higher than the center of gravity. The drilling equipment and oil gas processing module is installed in the construction site, and the platform is transported to the installation site by a dry tow or wet tow as a whole and then is installed. The platform can be applied to deepwater oil and gas exploitation under harsh marine environment.

Integrative deep draft floating production platform with unconditional stability and offshore installation method thereof

Growing community of inventors

Beijing, China

Bin Xie