Lisha Zhao

ORCID: 0000-0003-0979-0048
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Reservoir Engineering and Simulation Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Molecular Junctions and Nanostructures
  • Neural Networks and Applications
  • Diamond and Carbon-based Materials Research
  • Fluid Dynamics Simulations and Interactions
  • Polymer Surface Interaction Studies
  • Advanced Computational Techniques and Applications
  • Methane Hydrates and Related Phenomena
  • Advanced Decision-Making Techniques
  • Drilling and Well Engineering
  • Coal Properties and Utilization
  • Oil and Gas Production Techniques
  • Lattice Boltzmann Simulation Studies

Research Institute of Petroleum Exploration and Development
2020-2024

Changsha University of Science and Technology
2008-2011

Jilin University
2011

Predictive analysis of the reservoir surveillance data is crucial for high-efficiency management oil and gas reservoirs. Here we introduce a new approach to that uses machine learning tree boosting method forecast production data. In this method, prediction target decline rate at given time one well in low-permeability carbonate reservoir. The input train model includes (e.g., rate, water cut, ratio (GOR)) operation history choke size shut-down activity) 91 producers last 20 years. algorithm...

10.3390/en13236307 article EN cc-by Energies 2020-11-30

Spontaneous water imbibition is an important mechanism in water-wet fractured reservoirs. For volume-fractured reservoirs, to evaluate the oil productivity and recovery through counter-current imbibition, we propose analytical method for optimizing reservoir volume fracturing scheme. Based on two-phase fluid flow differential equation capillary force, a three-dimensional derived analytically. The considering fracture network obtained. A numerical model constructed verify validity of average...

10.1155/2021/6693359 article EN cc-by Geofluids 2021-02-27

A novel arithmetic is proposed for calculating the lower conservatism degree of robust stability linear uncertain systems with system matrix being interval based on theory Gerschgorin separating eigenvalues matrix. And new method transformed about into feasibility roots constrained quadratic equations containing one unknown. The algorithm was attested by a second-order and extended to multi-order system. Then an example analyzed, result shows that proved be conservatism, which can improve...

10.1109/wcica.2008.4594600 article EN 2008-01-01
Coming Soon ...