... risk and reduce the uncertainty of prediction, the results are more consistent with the actual drilling results. log analysis deep learning machine learning artificial intelligence fluid factor reservoir characterization neural network applied geoscience mixture model well logging data...

... for the fluid factor commonly used in AVO analysis and interpretation. The expression is a function of common AVO intercept and gradient and a weighting coefficient that allows one to suppress the contribution of lithology and other factors not related to fluid content. The performance of the weighted fluid...

... ABSTRACT Fluid factors play an important role in reservoir fluid identification. Previous fluid factors generally based on reflectivity or impedance information, which effectively highlight the fluid-related anomalies and possess the ability to identify hydrocarbon bearing sandstones from...

..., such as applying AVO classifications or a fluid factor. We extend this type of qualitative AVO analysis by using a rock physics driven inversion to predict reservoir properties from intercept and gradient data. In this demonstration we do not use any well log data, but, if available, they could be included...

... ABSTRACT Geofluid discrimination plays a crucial role in reservoir prediction and exploration geophysics. And prestack seismic inversion is an important method for fluid discrimination and reservoir characterization. Compared with conventional elastic parameters, fluid factor is a more...

... seismic inversion method for fluid factor in the depth domain with amplitude variation with incident angle gathers by using a true-depth wavelet on the process of seismic inversion. This wavelet is estimated by converting the time wavelet to the depth wavelet with seismic velocity. To guide the fluid...

... hydrocarbon indicator frequency resolution favo inversion tight sandstone reservoir upstream oil & gas fluid factor annual international meeting Bonar , D. C. , and M. D. Sacchi , 2010 , Complex spectral decomposition via inversion strategies : Presented at the 80th Annual...

... sensitive to random noise and the accuracy of spectrum decomposition. Presentation Date: Monday, October 17, 2016 Start Time: 3:20:00 PM Location: 174 Presentation Type: ORAL fluid factor dispersion annual meeting new hydrocarbon indicator bayesian theory upstream oil & gas zoeppritz...

... impedance reservoir characterization china university equation wave velocity impedance equation fluid identification artificial intelligence fluid factor seismic data approximation seismic inversion estimation method inversion method upstream oil & gas reservoir fluid...

... a calculation of equivalent bulk modulus based on fluid analysis during the fluid substitution, which avoided potential difficulties possibly caused by multiple mineral matrixes and low-connected pores in carbonates. Two sets of equations were utilized to calculate fluid factor (f) , and by searching...

...Direct estimation for fluid factor by two term AVO inversion for deep reservoir Xiaojing Liu*, Xingyao Yin, China University of petroleum (Huadong) Summary The amplitude-variation-with-offset (AVO) inversion is an important technology in estimating elastic parameters which are sensitive...

... impedance equation containing the Russell fluid factor and establishes the corresponding prestack inversion method. The fluid factor can be inverted with this direct inversion method even when the far-offset seismic data is missing. A synthetic test shows the high accuracy and robustness of this method...

... critical porosity model zhang fluid bulk modulus direct stochastic seismic inversion probability density seismic data reservoir characterization information real data fluid factor inversion result artificial intelligence identification inversion method upstream oil & gas inversion china...

... factor that can effectively discriminate the crack fluid, and it also studies the differences of fluid factor when the fracture is filling different types of fluid, saturations and crack aspect ratios. And then it analyzes the variations of reflection coefficients when the fracture is filled...

... AVAZ inversion for elastic parameter and fracture fluid factor Huaizhen Chen, Guangzhi Zhang, and Xingyao Yin, China University of Petroleum (East China) Summary The purpose of this presentation is to provide an efficient algorithm of AVAZ (amplitude versus angle and azimuth) inversion for elastic...

... Summary Hydrocarbon identification is one of the ultimate objectives of seismic prospecting and is greatly affected by the choice of fluid factor. Fluid factors have been investigated and applied extensively in the oil and gas exploration, and advanced our ability to discern the unknown...

... sedimentological model anomaly delineation copa macoya field chaguarama formation reservoir characterization guárico sub-basin fluid factor Using reflectivity attributes for accurate delineation of a potential gas reservoir in Chaguaramas Formation, Copa Macoya Field, Guárico sub-Basin, Venezuela Yaraixa...

... inversion. Therefore, based on Zeoppritz equation''s approximation formula of porous liquid-saturated viscoelastic media which was proposed by Russell (2006), we proposed a new fluid identification factor, Gassmann fluid factor f, . The fluid factor can be directly extracted from elastic impedance data...

... ABSTRACT Fluid factor based on Biot-Gassmann equation plays an important role in reservoir fluid discrimination. We present a method to calculate fluid factor without density information and only with elastic modulus (P-wave and S-wave modulus) inverted by nonlinear AVO inversion based...

.... Introduction Various fluid indicators (often called direct hydrocarbon indicators, or DHI) have been proposed to differentiate lithology and fluid for increasingly complicated exploration and production projects. The concept of fluid factor was firstly proposed by Smith and Gidlow (1987), and was derived using...