Drillability prediction in some metamorphic rocks using composite penetration rate index (CPRI) – An approach

Groundwater in Sedimentary, Metamorphic and Volcanic Rocks

Computer Programs for P-T History of Metamorphic Rocks using Pseudosection Approach

In this paper computer program THERMOCALC, GIBBS and THERIAK-DOMINO are discussed and pseudosections are generated on some chemical data taken from the published literature from the Himalaya and Alps and also new chemical and EPMA data generated from the Garhwal Himalaya to demonstrate the capabilities of THERMOCALC and THERIAK-DOMINO. Usefulness and limitations of computed pseudosections (equi...

Reliability assessment of Needle Penetration Index for estimating compressive strength of some sedimentary rocks from the Qom Formation, Central Iran

In this paper, the needle penetrometer test was utilized to explore the reliability of the Needle Penetration Index (NPI) for estimating the Unconfined Compressive Strength (UCS) of sedimentary rocks including gypsum, marl, siltstone and sandstone collected from the Qom Formation. Following the UCS and NP test, regression analyses were carried out to control the predictive performances of NPI. ...

Slow oxygen diffusion rates in igneous zircons from metamorphic rocks

Empirical tests of oxygen exchange rate in zircon crystals from amphiboliteand granulite-facies metamorphic rocks of the Grenville Province demonstrate preservation of igneous dO through protracted igneous and metamorphic histories, forming the basis of quantitative estimates of diffusion rate. Granitic orthogneisses, which cooled slowly after granulite-facies metamorphism, show no consistent r...

Rate of Penetration Prediction and Optimization using Advances in Artificial Neural Networks, a Comparative Study

An important aspect of oil industry is rate of penetration (ROP) prediction. Many studies have been implemented to predict it. Mainly, multiple regression and artificial neural network models were used. In this paper, the objective is to compare the traditional multiple regression with two artificial intelligence techniques; extreme learning machines (ELM) and radial basis function networks (RB...