The Xiong'an New Area is established to relieve Beijing's non-capital functions. The promotion of Beijing's international science and technology innovation center construction is driven by it. The development of the Beijing-Tianjin-Hebei regional innovation system is also driven by it. It is of great significance to analyze the current situation and problems of the construction of the Science and Technology Innovation Center in Xiong'an New Area and propose corresponding countermeasures. Based on relevant policies, the strategic positioning of the construction of the Science and Technology Innovation Center in Xiong'an New Area was clarified. Based on the current situation, the problems and deficiencies in the construction of the Science and Technology Innovation Center in the new area were analyzed. Several countermeasures and suggestions were put forward to improve the construction of the scientific and technological innovation system in Xiong'an New Area and enhance the capabilities of scientific and technological innovation and industrial innovation.

The construction of an important carrier for high-end and high-tech industries in Xiong'an New Area is a crucial engine for the relocation of non-capital functions from Beijing and the coordinated development of the Beijing-Tianjin-Hebei region. Through an analysis of the current situation of the construction of the high-end and high-tech industry carrier in Xiong'an New Area, it is found that the carrier has already possessed a certain carrying capacity, but there are deficiencies in policy guidance, industrial agglomeration, local support, talent reserves, and industrial collaboration. Based on this, the following policies are proposed to provide an innovative environment for the development of high-end and high-tech industries in the new area: introduction of leading enterprises in the supply chain, construction of platform and carrier, improvement of policy support measures, optimization of the innovation and development ecosystem of the host area.

Disruptive technology is strategic technology that could overturn mainstream technology and reshape competitive landscape, characterized by complex evolution process and typical “non-consensus” attributes. Traditional research project evaluation methods, which rely on “one-time evaluation determines the lifetime outcome”, are unsuitable for disruptive technology projects. Instead, an evaluation-cultivation integrated approach should be adopted for their identification. Thus, the connotation of disruptive technology was analyzed, the typical practices and experiences of foreign institutions were drawn on, and three basic principles: “Logical Consensus, Inclusive Standards”, “Recognizing Strengths and Offseting Weaknesses, Sifting out the gold from the sand”, and “Tiered Planning, Dynamic Optimization” were proposed. It explores the construction of an evaluation-cultivation integrated mechanism aligned with the evolutionary traits of disruptive technologies, centered on “high-consensus logical reasoning”. The results provide methodological reference for accurately identifying disruptive technology.

Coordinating the relocation of Beijing's non-essential capital city functions with Xiong'an New Area's own development is the key for achieving Xiong'an's strategic target of “national project of millennial significance,” and it provides the fundamental guideline for building a high-quality and modern socialist city. The progress of non-capital-function relocation to Xiong'an was reviewed, the emerging situation and challenges were analyzed, and the urban development momentum theory to examine domestic and international new-city experiences was drawn on. It delineates three stages for the development of Xiong'an, identifies the core drivers and priorities for each stage, and offers recommendations for the next phase on how to advance both functional relocation and local development in tandem.

In order to solve the influence of bolt length on roadway support under different geological and mining conditions, using FLAC3D numerical simulation software, the numerical simulation research of tunnel support effect of 1.6, 1.8, 2.0, 2.2 and 2.4 m different bolt lengths was carried out. Through five bolt-length support schemes, the stress change and displacement deformation rule of roadway under each scheme were analyzed, and the optimal bolt-length was obtained. The results show that the change of bolt length affects the displacement and deformation of roadway after excavation. When the diameter of the bolt is constant and the length is 2.2 m, the deformation of the roadway surrounding rock is small, and the shear failure in the plastic zone is minimal. Through the comparison of several schemes, it is found that the roadway support effect is best when the length of bolt is 2.2 m.

15111 working face of Huangyanhui Coal Mine in Shanxi Province was selected as the support of the actual project, and the stress distribution state and roadway deformation characteristics of coal pillar and solid coal under different coal pillar widths were analyzed in depth, aiming to realize the optimal design of the parameters of coal pillar excavation along the gob of the track channel in this working face. The lateral stress distribution law of goaf was deeply discussed, and the stress distribution of small coal pillar after goaf excavation was studied. At the same time, the distribution characteristics of vertical stress and horizontal stress during mining are comprehensively analyzed, and the specific values of vertical displacement and horizontal displacement in mining stage are precisely measured. The research results show that with the continuous increase of the width of coal pillar, the stress carried by coal pillar and solid coal increases correspondingly. At the same time, the increase of the width of coal pillar causes the deformation of the two sides of the tunnel to expand first and then shrink, and the deformation decreases further when the tunnel reaches a stable state. However, the deformation of the top plate and the bottom plate showed a gradually decreasing trend. Through research and analysis, the optimal design size of coal pillar in goaf excavation is optimized and determined. The research result will provide a key and reliable reference standard for the coal pillar maintenance of Huangyanhui Coal Mine and other similar projects, and effectively promote the improvement of the safety, stability and economy of the project, which has important value for promoting the technological progress in related fields.

The strong heterogeneity of the Lower Permian gas reservoir in the Hechuan Gas Field and the significant differences in gas well productivity, along with the unclear characteristics of high-efficiency wells, have constrained the profitable development of the gas reservoir. To identify the controlling factors of high-yield wells, research was conducted from both geological and engineering perspectives, focusing on the relationships between paleogeomorphology, dolomitization degree, reservoir thickness, fracture and vug development, acid treatment volume, and gas test productivity. The results indicate that wells located in high paleogeomorphological positions, with high dolomite content and large reservoir thickness, exhibit well-developed fractures and vugs, achieving productivity of up to a million cubic meters. Large-scale acid treatments can modify the surrounding reservoir of the wells, enhancing their productivity.

Aiming at challenge about the limited reforestation effect of conventional fracturing operating type on tight sandstone reservoir in Linxing block of Ordos Basin, using core data, experimental analysis data, well logging data and production dynamic data, parameter normalization and weight analysis methods were used to conduct a friability evaluation for volume fracturing in tight sandstone reservoirs. For the first time in this region, a multi-parameter comprehensive evaluation formula and parameter criteria were established and a set of volumetric fracturing design scheme and supporting process method suitable for this area were formed. After field application in Linxing Area, the productivity of volumetric fracturing is increased by 1.3 times compared with that of conventional fracturing. With exceptionally abundant tight sandstone gas reserves in Linxing, the friability evaluation-guided volume fracturing technology represents a significant innovation in hydrocarbon development. This approach has shown growing advantages in unconventional resource exploitation and holds broad prospects for industrial applications.

To obtain accurate temperature and pressure data during downhole fracturing processes, a novel dissolvable fracturing ball is developed for collecting temperature and pressure data during downhole fracturing stages. This method utilizes the fracturing ball as the external structure, with pressure and temperature sensors as the core components for data acquisition. Based on a single-chip integrated circuit, data transmission was achieved through RS-485 communication, and data storage was accomplished via SPI communication. In accordance with the operational conditions of the novel dissolvable fracturing ball, experiments on pressure, temperature, and signal storage ball escape were conducted. The experimental results demonstrate that the design structure of the novel dissolvable fracturing ball meets the requirements of operational conditions, with excellent sensor acquisition accuracy. Its capability to read and store pressure and temperature data during downhole fracturing stages provides new insights for the digital transformation of oil and gas field exploration and development technologies.

To address the limitations of traditional gas consumption prediction methods in dealing with complex time series data, a combined model (CNN-BiLSTM-Attention) integrating convolutional neural networks, bidirectional long short-term memory networks, and attention mechanisms is proposed for urban gas consumption prediction. An empirical analysis was conducted on the actual gas consumption situation of a city in the western region. The results show that the root mean square error, mean absolute error, and coefficient of determination of this model are 19.14, 17.53 and 0.966 6 respectively, and its prediction effect is significantly better than that of other models. The research indicates that the CNN-BiLSTM-Attention network model provides an effective solution for urban gas consumption prediction and offers a scientific basis for urban energy management and decision-making.