Ensemble-based well-log interpretation and uncertainty quantification for well geosteering
Hydrocarbon reservoirs are often located in spatially complex and uncertain geologic
environments, where the associated costs of drilling wells for exploration and development …
environments, where the associated costs of drilling wells for exploration and development …
Solving geosteering inverse problems by stochastic Hybrid Monte Carlo method
The inverse problems arise in almost all fields of science where the real-world parameters
are extracted from a set of measured data. The geosteering inversion plays an essential role …
are extracted from a set of measured data. The geosteering inversion plays an essential role …
Enhancing the detectability of deep-sensing borehole electromagnetic instruments by joint inversion of multiple logs within a probabilistic geosteering workflow
The cost of drilling wells on the Norwegian Continental Shelf is exceptionally high, and
hydrocarbon reservoirs are often located in spatially complex rock formations. Optimized …
hydrocarbon reservoirs are often located in spatially complex rock formations. Optimized …
[PDF][PDF] 分子动力学在聚合物驱油中的应用研究进展
徐建平， 袁远达， 谢青， 魏学刚， 冯震 - 油气藏评价与开发, 2021 - red.magtech.org.cn
传统上, 实验室测试和测量被认为是最可靠的表征方法, 然而在许多情况下,
由于对储层性质范围的敏感性和非均质储层性质的局部变化认识不清, 以及基于过于简化的假设 …
由于对储层性质范围的敏感性和非均质储层性质的局部变化认识不清, 以及基于过于简化的假设 …
Ensemble-based well log interpretation and uncertainty quantification for geosteering
The costs for drilling offshore wells are high and hydrocarbons are often located in complex
reservoir formations. To effectively produce from such reservoirs and reduce costs …
reservoir formations. To effectively produce from such reservoirs and reduce costs …
Real-Time Ensemble-Based Well-Log Interpretation for Geosteering
The cost of drilling wells on the Norwegian Continental Shelf are extremely high, and
hydrocarbon reservoirs are often located in spatially complex rock formations. Optimized …
hydrocarbon reservoirs are often located in spatially complex rock formations. Optimized …
Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation
Underground formation characterization and uncertainty quantification require the inversion
of the subsurface sensing data using probabilistic methods. Markov chain Monte Carlo …
of the subsurface sensing data using probabilistic methods. Markov chain Monte Carlo …