公开(公告)号：US20200064507A1

公开(公告)日：2020-02-27

申请号：US16489286

申请日：2018-07-18

Applicant: Landmark Graphics Corporation

Inventor： Youli Mao ,  Bhaskar Mandapaka ,  Ashwani Dev ,  Satyam Priyadarshy

IPC: G01V1/50 ,  G06K9/62 ,  G06N3/08 ,  G06N20/00

Abstract: A method for determining a position of a geological feature in a formation includes acquiring a seismic dataset, wherein the seismic dataset is based on signals of one or more seismic sensors and determining a set of indicators of candidate discontinuities in the formation based on the seismic dataset. The method also includes labeling a subset of the set of indicators of candidate discontinuities using a neural network with a label based on the set of indicators of candidate discontinuities, wherein the label distinguishes an indicator of a candidate discontinuity between being an indicator of a target discontinuity or being an indicator of a non-target discontinuity and determining the position of the geological feature in the formation, wherein the geological feature in the formation is associated with at least one target discontinuity based on the subset of the set of indicators of candidate discontinuities.

公开(公告)号：US20190235106A1

公开(公告)日：2019-08-01

申请号：US16331635

申请日：2016-10-04

Applicant: Landmark Graphics Corporation

Inventor： Ashwani Dev ,  Sridharan Vallabhaneni ,  Raquel Morag Velasco ,  Jeffrey Marc Yarus

IPC: G01V1/28 ,  G01V1/30

CPC classification number: G01V1/282 ,  G01V1/288 ,  G01V1/301 ,  G01V1/307 ,  G01V1/308 ,  G01V1/42 ,  G01V1/50 ,  G01V11/00 ,  G01V2210/121 ,  G01V2210/1234 ,  G01V2210/6122 ,  G01V2210/6163 ,  G01V2210/6165 ,  G01V2210/6167 ,  G01V2210/6169 ,  G01V2210/63 ,  G01V2210/646 ,  G06Q10/06 ,  G06Q50/02

Abstract: A multivariate analysis may be used to correlate seismic attributes for a subterranean formation with petrophysical properties of the subterranean formation and/or microseismic data associated with treating, creating, and/or extending a fracture network of the subterranean formation. For example, a method may involve modeling petrophysical properties of a subterranean formation, microseismic data associated with treating a complex fracture network in the subterranean formation, or a combination thereof with a mathematical model based on measured data, microseismic data, completion and treatment data, or a combination thereof to produce a petrophysical property map, a microseismic data map, or a combination thereof; and correlating a seismic attribute map with the petrophysical property map, the microseismic data map, or the combination thereof using the mathematical model to produce at least one quantified correlation, wherein the seismic attribute map is a seismic attributed modeled for the complex fracture network.