Results 51 to 60 of about 9,126,145 (305)

Evaluating Variability of Ground Thermal Conductivity within a Steep Site by History Matching Underground Distributed Temperatures from Thermal Response Tests

Energies, 2021
The variability of ground thermal conductivity, based on underground conditions, is often ignored during the design of ground-source heat pump systems.
Yoshitaka Sakata, Takao Katsura, Ahmed A. Serageldin, Katsunori Nagano, Motoaki Ooe   +4 more
doaj   +1 more source

Genetic Algorithm for the History Matching Problem

Procedia Computer Science, 2013
AbstractIn this work we present a study of genetic algorithms for the automatic history matching problem of reservoir simulation. The history matching process is an inverse problem that searches a set of parameters that minimizes the difference between the model performance and the historical performance of the field.
Carolina Ribeiro Xavier, Elisa Portes dos Santos, Vinícius da Fonseca Vieira, Rodrigo Weber dos Santos   +3 more
openaire   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen, Mette Tiedemann Skipper, Niels Holtum Birkebæk, Kjeld Schmiegelow, Thomas Leth Frandsen, Bente Langdahl, Rikke Beck Jensen, Asger Roer Pedersen, Christian Mølgaard, Liv Andrés‐Jensen, Birgitte Klug Albertsen   +10 more
wiley   +1 more source

History matching in reservoir simulation [PDF]

, 2018
History matching is a widely used reservoir simulation workflow. Its goal is to create models which reasonably match historical field injection and production data so future predictions can be made.
Jiang, Junzhe
core   +2 more sources

Field Development with Scenario Reactivation of Non-Active Zones Through Reservoir Simulation: A Case Study of The Kappa Offshore Field, West Natuna

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2023
This research provides the scenario of a field development plant with the primary goal of acknowledging the reservoir model of Kappa Field in determining the optimum field development scenario to increase the recovery factor.
Iwan Setya Budi, Christianov Agassi Batistuta Sumolang   +1 more
doaj  

Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model

Journal of Advances in Modeling Earth Systems, 2023
The objective of this study is to evaluate the potential for History Matching (HM) to tune a climate system with multi‐scale dynamics. By considering a toy climate model, namely, the two‐scale Lorenz96 model and producing experiments in perfect‐model ...
Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji   +3 more
doaj   +1 more source

Efficient Dimensionality Reduction Methods in Reservoir History Matching

Energies, 2021
Production forecasting is the basis for decision making in the oil and gas industry, and can be quite challenging, especially in terms of complex geological modeling of the subsurface.
Amine Tadjer, Reider B. Bratvold, Remus G. Hanea   +2 more
doaj   +1 more source

Reservoir automatic history matching: Methods, challenges, and future directions [PDF]

, 2023
Reservoir history matching refers to the process of continuously adjusting the parameters of the reservoir model, so that its dynamic response will match the historical observation data, which is a prerequisite for making forecasts based on the reservoir
Yao, Jun, Liu, Piyang, Zhang, Kai, Kai Zhang, Jun Yao, Piyang Liu   +5 more
core   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II

Energies, 2023
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry, with numerous applications which guide engineers in better decision making.
Anna Samnioti, Vassilis Gaganis
doaj   +1 more source