公开(公告)号：WO2021191195A1

公开(公告)日：2021-09-30

申请号：PCT/EP2021/057401

申请日：2021-03-23

Applicant: SHELL INTERNATIONALE RESEARCH MAATSCHAPPIJ B.V. ,  SHELL OIL COMPANY

Inventor： SOLUM, John ,  FALIVENE ALDEA, Oriol ,  ZARIAN, Pedram ,  KIRSCHNER, David Lawrence ,  AUCHTER, Neal Christian ,  CILONA, Antonino

IPC: G06K9/62 ,  G06K9/628

Abstract: A method for predicting an occurrence of a geological feature in a geologic core image uses a backpropagation-enabled segmentation process trained by inputting multiple training geologic core images and a set of associated labels of geological features, iteratively computing a prediction of the probability of occurrence of the geological feature for the training images and adjusting the parameters in the backpropagation-enabled segmentation model until the model is trained. The trained backpropagation-enabled segmentation model is used to predict the occurrence of the geological features in non-training geologic core images. Geological features to be predicted with this method include structural features (such as veins, fractures, bedding contacts, etc.), and stratigraphic features (such as lithologic types, sedimentary structures, sedimentary facies, etc.).

公开(公告)号：WO2021259913A1

公开(公告)日：2021-12-30

申请号：PCT/EP2021/066951

申请日：2021-06-22

Applicant: SHELL INTERNATIONALE RESEARCH MAATSCHAPPIJ B.V. ,  SHELL OIL COMPANY

Inventor： KIRSCHNER, David Lawrence ,  SOLUM, John

IPC: G06T7/00 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T7/0004

Abstract: A method for predicting an occurrence of a structural feature in a core image using a backpropagation-enabled process trained by inputting a set of training images of a core image, iteratively computing a prediction of the probability of occurrence of the structural feature for the set of training images and adjusting the parameters in the backpropagation-enabled model until the model is trained. The trained backpropagation-enabled model is used to predict the occurrence of the structural features in non-training core images. The set of training images may include non-structural features and/or simulated data, including augmented images and synthetic images.

公开(公告)号：WO2016050942A1

公开(公告)日：2016-04-07

申请号：PCT/EP2015/072758

申请日：2015-10-01

Applicant: SHELL INTERNATIONALE RESEARCH MAATSCHAPPIJ B.V. ,  SHELL OIL COMPANY

Inventor： SOLUM, John

IPC: G01V1/30 ,  G01V1/34

CPC classification number: G01V1/364 ,  G01V1/302 ,  G01V1/345 ,  G01V1/36 ,  G01V2210/00 ,  G01V2210/64 ,  G01V2210/74 ,  G02B27/46 ,  G06E3/001

Abstract: A method for seismic geological lineation mapping, wherein a seismic dataset is collected, with information about minor lineations generated by subtle structural geological features in an underground earth formation. Seismic attribute volumes are identified in the seismic dataset, relating to trace continuity, amplitude, frequency and phase. The attribute volumes may have an insufficient resolution to display the minor lineations. A seismic multivolume lithological lineation map is generated, in which single attribute lineation maps generated for each of the identified seismic attribute volumes are combined to accurately display the minor lineations generated by the subtle geological features.

Abstract translation: 一种用于地震地质线绘制的方法，其中收集了地震数据集，其中包含由地下地层中微妙的结构地质特征产生的次要线索的信息。 地震属性体积在地震数据集中识别，涉及轨迹连续性，幅度，频率和相位。 属性卷可能没有足够的分辨率显示次要行。 生成地震多体积岩性线性图，其中为每个识别的地震属性体积生成的单个属性线图映射到精确地显示由微妙地质特征产生的次要线段。