Chevron U.s.a. Inc.

David C Bartel

Reynaldo Cardona

Prasenjit Roy

James R Magill

Anandaroop Ray

Tamas Nemeth

James P Disiena

Joseph Paul Stefani

Kabilan Krishnamurthy

Dimitri Bevc

Yunhui Tan

James Magill

Jacob G Tesfaye

Ivan Lim Chen Ning

Zhishuai Zhang

Kelly Hughes

Jacob Tesfaye

A method is described for predicting and preventing wellbore interactions at wells that are near the injection well. The method includes receiving fiber optics data; performing object detection by detecting object-like events in the fiber optic data; and sending instructions to a hydraulic fracturing system based on the object detection. The method is executed by a computer system.

System and method for preventing wellbore interactions

A method is described for seismic amplitude analysis including receiving a seismic dataset representative of a subsurface volume of interest wherein the seismic dataset includes an angle or angle stack dimension; select a plurality of sets of sub-cubes in the seismic dataset wherein each set of sub-cubes includes a plurality of the angles or the angle stacks; compute standard score statistics for each of the plurality of sub-cubes; identify amplitude variation with angle (AVA) anomalies based on the standard score statistics for each of the set of sub-cubes; classify the AVA anomalies to generate classified AVA anomalies; and displaying, on a user interface, the classified AVA anomalies as a graphical display. The method is executed by a computer system.

System and method for seismic amplitude analysis

A computer-implemented method is described for a manner of geologic analysis using time-lapse seismic data. The method includes steps of receiving a first seismic attribute volume inverted from a seismic dataset recorded at a first time, a second digital seismic attribute volume inverted from a seismic dataset recorded at a second time, and a range of geological and geophysical parameters possible in the subsurface volume of interest; identifying a layer and area of interest; computing an attribute difference volume from the seismic attribute volumes; performing probabilistic attribute analysis of at least two of the first digital seismic attribute volume, the second digital seismic attribute volume, and the attribute difference volume using the range of geological and geophysical parameters; estimating time-lapse reservoir properties based on the probabilistic attribute analysis; and outputting visual information depicting the time-lapse reservoir properties via a user interface.

System and method for assessing the presence of hydrocarbons in a subterranean reservoir based on seismic inversions

Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.

Systems and methods for refining estimated effects of parameters on amplitudes

A method is described for a manner of geologic analysis using time-lapse seismic data. The method includes steps to produce improved amplitude versus angle (AVA) information that may be used for analysis of geologic features of interest including estimation of pore fluid content and changes in the pore fluid content. The method assesses the probability of hydrocarbons in a subterranean reservoir based on seismic amplitude variations along offsets or angles for portions of a seismic horizon. The method may be executed by a computer system.

System and method for assessing the presence of hydrocarbons in a subterranean reservoir based on time-lapse seismic data

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Houston, TX, United States of America

David C Bartel