Lithology identification is the fundamental work of oil and gas reservoir exploration evaluation. The lithology volcanic reservoirs complex changeable, longitudinal changes a great deal, log response characteristics are similar. traditional methods face difficulties. Therefore, it necessary to use machine learning deeply explore corresponding relationship between conventional curve in order establish model. In accurately identify dominant rock, this paper takes Carboniferous intermediate...

The Fengcheng Formation in the Mahu Sag of Junggar Basin, China, is characterized by alkaline lake deposits, featuring abundant minerals. content minerals affects physical properties and oil-bearing reservoir, existing mineral inversion methods cannot calculate Based on Litho Scanner Log data, we can dry weight elements using oxide closure model. By improving rock volume model; adding trona, shortite, eitelite, reedmergnerite to combining with least squares method, calculation was carried...

Based on a modified di-nuclear system model in which the nucleon transfer is coupled with dissipation of energy and angular momentum, isotopic dependence orientation (between target projectile) effects evaporation residue cross section for synthesizing super-heavy nuclei are investigated. The calculated results indicate that sections shows an odd-even effect does not change much increasing neutron number target. influences deformation relative projectile also discussed. Our show waist to...

Abstract The evaluation of source rock properties has become a vital step in logging interpretation. Total organic carbon (TOC) content is the key to estimating quality and hydrocarbon generation potential rocks. In shale oilfield Junggar Basin, conventional method calculating TOC rocks cannot satisfy requirements. This paper predominantly deals with for quantitative estimation via nuclear physics magnetic resonance (NMR) logs. According this method, total hydrogen index sum response...

Abstract For no natural productivity, hydraulic fracturing is widely used in unconventional reservoirs. Thus, oil production prediction before crucial. In general, it usually obtained based on percolation theory and fracture geometrical model from engineering data. However, fracturing, the data are mainly geological petrophysical Hence, predicting them can make a lot of sense for guiding design. Although have complex nonlinear relation with after least squares support vector machine (LSSVM)...

Abstract Due to complex lithology, strong heterogeneity, low porosity and permeability; resistivity logging faces great challenges in oil saturation prediction of tight conglomerate reservoirs. First, 10 typical core samples were selected measure analyse the porosity, permeability, nuclear magnetic resonance (NMR) T2 spectrum mercury injection capillary pressure (MICP) curve. Second, an empirical method was proposed for reconstructing NMR under completely watered conditions using MICP curve...

The resistivity index is an important parameter for determining the rock saturation index. However, changes greatly in unconventional reservoirs, which leads to oil estimation with great difficulty. Hence, we try establish relationship between and log data. Firstly, a novel model of estimating <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <msub> <mrow> <mi>T</mi> </mrow> <mn>2</mn> </msub> </math> time was derived based on fractal theory, nuclear magnetic resonance (NMR) id="M2">...

In this study, the controllable fabrication of a variety vertically aligned, single-crystalline [110]-oriented Si nanowire arrays with sharp tips on (110)Si substrates is achieved using combined self-assembled nanosphere lithography and multiple electroless Ag-catalyzed etching processes. All experiments were performed at room temperature. The morphological evolution formation mechanism long tapered [110]Si during tip-sharpening cycle processes have been investigated by scanning electron...

The iron-bearing chlorite adsorbs crude oil to form film, resulting in oil-wet property and leading the more complicated change of nuclear magnetic resonance (NMR) T2 spectrum, which makes it difficult for saturation pore structure evaluation via well logs. To find out laws NMR core samples with normal resistivity abnormal high were selected. Petrophysical experiments different wettability designed measured, including contact angle, Amott index mercury injection capillary pressure curve....

The relationship between resistivity index and water saturation (I-Sw) is very important in formation evaluation via petrophysical data. Low permeability complicated pore structure make it more difficult to determine I-Sw through rock's electrical property measurements. Nuclear magnetic resonance (NMR) logs are alternative ways obtain these key parameters. To establish a model estimate from NMR logs, 17 cores the study area were selected for experiments. helium porosity, air permeability, T2...

With the shift of focus oil and gas exploration development to shale reservoirs, evaluation hydrocarbon properties lithology has become a hot research direction in logging. It is great significance obtain continuous organic geochemical parameters using log data. Most studies on matter abundance while there are relatively few methods for thermal maturity. In this paper, according density-bulk model source rocks, new indicator parameter, UTM, which can characterize maturity, constructed based...

Summary Due to complex lithology, strong heterogeneity, low porosity and permeability; resistivity logging faces great challenges in oil saturation prediction of tight conglomerate reservoirs. First, 10 typical cores were selected measure analyze petrophysical parameters. Second, an empirical method is proposed for reconstructing NMR T2 spectrum under completely watered condition using MICP curve based on the "three-piece" power function. The parameters different models are calibrated via...