Sentence examples for careful estimation from inspiring English sources

Careful estimation of reservoir fluid behavior is necessary for evaluating of hydrocarbon reserves, predicting future performance, designing production facilities, and planning methods of enhanced oil recovery.

These results have permitted a careful estimation of the phase transformation temperatures of each β′3 martensite plate as a function of its stored elastic energy.

Relying on a careful estimation of the energy used for the injection moulding process, the designer is guided towards the development of green er) solutions.

Due to the non-conventional scanner design, careful estimation of the sensitivity matrix is needed to obtain artifact-free images from the ClearPET™ Neuro.

Cohesive Zone Models (CZM) are a powerful tool for the design of bonded structures, but they require careful estimation of the cohesive laws for reliable results.

The main steps are a careful estimation of the Green's function and the verification of the Riesz basis property for the generalized eigenfunctions.

The interaction energy between a screw dislocation and hydrogen atoms is calculated for various hydrogen positions and dislocation configurations with careful estimations of the finite-size effects, and the strongest binding energy of a hydrogen atom to the stable screw dislocation configuration is estimated to be 256 ± 32 meV.

Altogether, the proposed Sustainability Maturity Cube as a blueprint, as well as the adapted decision model of Kamprath and Röglinger (2011) created utility for the subject matter experts as they provided them with recommendations and means for further analysis (e.g., careful estimations, short-termed vs long-termed effects, effects of different absolute sizes of input parameters).

Careful analysis, estimation, and conversations with colleagues will help you answer the first two questions.

It states that participants have two types of knowledge, one deriving from careful payoff estimation and one from emotional reaction to losses or wins.

Few methods exist that combine careful statistical estimation and hypothesis testing with quantitative gene interaction models to provide a systems biology based approach for the analysis of microarray data.