AR113194A1 - Sistemas y métodos para estimar una probabilidad de productividad de un reservorio como función de la posición en un volumen de subsuelo de interés - Google Patents

Sistemas y métodos para estimar una probabilidad de productividad de un reservorio como función de la posición en un volumen de subsuelo de interés

Info

Publication number
AR113194A1
AR113194A1 ARP180102809A ARP180102809A AR113194A1 AR 113194 A1 AR113194 A1 AR 113194A1 AR P180102809 A ARP180102809 A AR P180102809A AR P180102809 A ARP180102809 A AR P180102809A AR 113194 A1 AR113194 A1 AR 113194A1
Authority
AR
Argentina
Prior art keywords
interest
volume
subsoil
productivity
reservoir
Prior art date
Application number
ARP180102809A
Other languages
English (en)
Inventor
Matthew C Jones
Hanna G Luk
Michael J Richey
Yuanbo Lin
Shane James Prochnow
Original Assignee
Chevron Usa Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chevron Usa Inc filed Critical Chevron Usa Inc
Publication of AR113194A1 publication Critical patent/AR113194A1/es

Links

Classifications

    • G01V20/00—
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • E21B47/003—Determining well or borehole volumes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/046—Forward inferencing; Production systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like

Abstract

Las implementaciones de ejemplo pueden: obtener datos del subsuelo y datos del pozo del volumen de subsuelo de interés; obtener un modelo de parámetro; obtener un modelo de correlación espacial; usar los datos del subsuelo y los datos del pozo para generar múltiples mapas de los parámetros de producción; aplicar el modelo de parámetro a los múltiples mapas de los parámetros de producción para generar valores de las probabilidades de producción; aplicar el modelo de correlación espacial a los datos del subsuelo y los datos del pozo para generar valores de continuidad de los parámetros; generar una representación de la probabilidad de la productividad del reservorio como función de la posición en el volumen de subsuelo de interés; y desplegar la representación.
ARP180102809A 2017-09-28 2018-09-28 Sistemas y métodos para estimar una probabilidad de productividad de un reservorio como función de la posición en un volumen de subsuelo de interés AR113194A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201762564349P 2017-09-28 2017-09-28

Publications (1)

Publication Number Publication Date
AR113194A1 true AR113194A1 (es) 2020-02-05

Family

ID=65808849

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP180102809A AR113194A1 (es) 2017-09-28 2018-09-28 Sistemas y métodos para estimar una probabilidad de productividad de un reservorio como función de la posición en un volumen de subsuelo de interés

Country Status (5)

Country Link
US (1) US11313993B2 (es)
EP (1) EP3688498B1 (es)
AR (1) AR113194A1 (es)
CA (1) CA3076523C (es)
WO (1) WO2019067212A1 (es)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3688655A4 (en) 2017-09-28 2021-06-16 Chevron U.S.A. Inc. SYSTEMS AND METHODS FOR ESTIMATING RESERVOIR PRODUCTIVITY AS A FUNCTION OF LOCATION IN AN UNDERGROUND VOLUME OF INTEREST
CA3076523C (en) * 2017-09-28 2023-04-04 Chevron, U.S.A. Systems and methods for estimating a likelihood of reservoir productivity as a function of position in a subsurface volume of interest
CA3072107C (en) 2017-09-28 2022-08-30 Chevron U.S.A. Inc. Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest
US11423197B2 (en) 2017-09-28 2022-08-23 Chevron U.S.A. Inc. Systems and methods for estimating a well design reservoir productivity as a function of position in a subsurface volume of interest based on a reservoir productivity parameter
WO2020142256A1 (en) * 2018-12-31 2020-07-09 Exxonmobil Upstream Research Company Methods and systems for performing decision scenario analysis
US11604909B2 (en) 2019-05-28 2023-03-14 Chevron U.S.A. Inc. System and method for accelerated computation of subsurface representations
US11249220B2 (en) 2019-08-14 2022-02-15 Chevron U.S.A. Inc. Correlation matrix for simultaneously correlating multiple wells
US11371336B2 (en) 2019-09-19 2022-06-28 Chevron U.S.A. Inc. Systems and methods for estimating refined reservoir productivity values as a function of position in a subsurface volume of interest
US11480709B2 (en) 2019-10-21 2022-10-25 Chevron U.S.A. Inc. Systems and methods for predicting hydrocarbon production and assessing prediction uncertainty
US11187826B2 (en) 2019-12-06 2021-11-30 Chevron U.S.A. Inc. Characterization of subsurface regions using moving-window based analysis of unsegmented continuous data
US11320566B2 (en) 2020-01-16 2022-05-03 Chevron U.S.A. Inc. Multiple well matching within subsurface representation
US11263362B2 (en) 2020-01-16 2022-03-01 Chevron U.S.A. Inc. Correlation of multiple wells using subsurface representation
US11397279B2 (en) * 2020-03-27 2022-07-26 Chevron U.S.A. Inc. Comparison of wells using a dissimilarity matrix
US11815650B2 (en) 2020-04-09 2023-11-14 Saudi Arabian Oil Company Optimization of well-planning process for identifying hydrocarbon reserves using an integrated multi-dimensional geological model
US11486230B2 (en) 2020-04-09 2022-11-01 Saudi Arabian Oil Company Allocating resources for implementing a well-planning process
US11693140B2 (en) 2020-04-09 2023-07-04 Saudi Arabian Oil Company Identifying hydrocarbon reserves of a subterranean region using a reservoir earth model that models characteristics of the region
US11561315B2 (en) 2021-03-31 2023-01-24 Chevron U.S.A. Inc. Systems and methods for identifying geostructural properties as a function of position in a subsurface region of interest
US20230204815A1 (en) * 2021-12-27 2023-06-29 Chevron U.S.A. Inc. Systems and methods for identifying type curve regions as a function of position in a region of interest

Family Cites Families (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6662185B1 (en) * 1999-10-15 2003-12-09 Dekalb Genetics Corporation Methods and systems for plant performance analysis
US7899657B2 (en) 2003-01-24 2011-03-01 Rockwell Automoation Technologies, Inc. Modeling in-situ reservoirs with derivative constraints
US7254091B1 (en) * 2006-06-08 2007-08-07 Bhp Billiton Innovation Pty Ltd. Method for estimating and/or reducing uncertainty in reservoir models of potential petroleum reservoirs
FR2918777B1 (fr) * 2007-07-09 2009-09-25 Total Sa Procede, programme et systeme informatique de consiliation de donnees de modele de reservoir d'hydrocarbure.
FR2918776B1 (fr) * 2007-07-09 2009-09-25 Total Sa Procede, programme et systeme informatique de mise a l'echelle de donnees de modele de reservoir d'hydrocarbure.
US20110011595A1 (en) * 2008-05-13 2011-01-20 Hao Huang Modeling of Hydrocarbon Reservoirs Using Design of Experiments Methods
US8200465B2 (en) * 2008-06-18 2012-06-12 Terratek Inc. Heterogeneous earth models for a reservoir field
EP2411845A1 (en) * 2009-03-27 2012-02-01 Exxonmobil Upstream Research Company Reservoir quality characterization using heterogeneity equations with spatially-varying parameters
WO2011062794A1 (en) * 2009-11-18 2011-05-26 Conocophillips Company Attribute importance measure for parametric multivariate modeling
US9330064B2 (en) * 2010-11-02 2016-05-03 Landmark Graphics Corporation Systems and methods for generating updates of geological models
BR112014007853A2 (pt) * 2011-10-06 2017-04-18 Landmark Graphics Corp método para otimizar a recuperação de óleo em curto prazo e dispositivo portador de programa
WO2013059279A1 (en) * 2011-10-18 2013-04-25 Saudi Arabian Oil Company Reservoir modeling with 4d saturation models and simulation models
US9201164B2 (en) * 2011-11-15 2015-12-01 Chevron U.S.A. Inc. System and method of using spatially independent subsets of data to calculate property distribution uncertainty of spatially correlated reservoir data
US9146903B2 (en) * 2011-11-15 2015-09-29 Chevron U.S.A. Inc. Method of using spatially independent subsets of data to calculate vertical trend curve uncertainty of spatially correlated reservoir data
CN103930802A (zh) * 2011-11-15 2014-07-16 雪佛龙美国公司 利用空间独立的数据子集为空间相关储层数据确定性质分布的软数据去偏不确定性的系统及方法
FR2987149B1 (fr) * 2012-02-16 2014-10-31 IFP Energies Nouvelles Procede d'exploitation d'un gisement a partir d'une technique de selection des positions de puits a forer
US9262713B2 (en) * 2012-09-05 2016-02-16 Carbo Ceramics Inc. Wellbore completion and hydraulic fracturing optimization methods and associated systems
WO2014146004A2 (en) * 2013-03-15 2014-09-18 Intelligent Solutions, Inc. Data-driven analytics, predictive modeling & optimization of hydraulic fracturing in marcellus shale
US20140310634A1 (en) * 2013-04-12 2014-10-16 Schlumberger Technology Corporation Dynamic fluid behavior display system
US10371860B2 (en) * 2013-05-22 2019-08-06 S.S. Papadopulos & Associates, Inc. Simultaneous multi-event universal kriging methods for spatio-temporal data analysis and mapping
US9946974B2 (en) * 2013-06-10 2018-04-17 Exxonmobil Upstream Research Company Determining well parameters for optimization of well performance
US11047232B2 (en) * 2013-12-31 2021-06-29 Biota Technology, Inc Microbiome based systems, apparatus and methods for the exploration and production of hydrocarbons
AU2014402325B2 (en) * 2014-08-01 2018-02-01 Landmark Graphics Corporation Estimating well production performance in fractured reservoir systems
WO2016051282A2 (en) * 2014-09-30 2016-04-07 King Abdullah University Of Science And Technology Reservoir resistivity characterization incorporating flow dynamics
US10995592B2 (en) * 2014-09-30 2021-05-04 Exxonmobil Upstream Research Company Method and system for analyzing the uncertainty of subsurface model
US10288766B2 (en) * 2014-10-09 2019-05-14 Chevron U.S.A. Inc. Conditioning of object or event based reservior models using local multiple-point statistics simulations
CA2977457A1 (en) * 2015-03-24 2016-09-29 Landmark Graphics Corporation Cluster analysis for selecting reservoir models from multiple geological realizations
US10280722B2 (en) * 2015-06-02 2019-05-07 Baker Hughes, A Ge Company, Llc System and method for real-time monitoring and estimation of intelligent well system production performance
US10415362B1 (en) * 2015-06-08 2019-09-17 DataInfoCom USA Inc. Systems and methods for analyzing resource production
US10621500B2 (en) * 2015-10-02 2020-04-14 Halliburton Energy Services, Inc. Completion design optimization using machine learning and big data solutions
US11899161B2 (en) * 2015-10-27 2024-02-13 Schlumberger Technology Corporation Optimization under uncertainty for integrated models
EP3397833B1 (en) * 2015-12-29 2022-10-12 Services Pétroliers Schlumberger Machine learning for production prediction
WO2017139271A2 (en) * 2016-02-08 2017-08-17 Rs Energy Group Topco, Inc. Method for estimating oil/gas production using statistical learning models
US10572611B2 (en) * 2016-04-29 2020-02-25 Exxonmobil Upstream Research Company Method and system for characterizing fractures in a subsurface region
US10746018B2 (en) * 2016-05-24 2020-08-18 Schlumberger Technology Corporation Systems and methods for identifying two or more charges into reservoir using downhole fluid analysis
US11377931B2 (en) * 2016-08-08 2022-07-05 Schlumberger Technology Corporation Machine learning training set generation
EP3563030A1 (en) * 2016-12-29 2019-11-06 ExxonMobil Upstream Research Company Method and system for regression and classification in subsurface models to support decision making for hydrocarbon operations
US20200124753A1 (en) 2016-12-29 2020-04-23 Exxonmobil Upstream Research Company Method and System for Evaluating Variability in Subsurface Models to Support Decision Making for Hydrocarbon Operations
US10859725B2 (en) * 2017-05-22 2020-12-08 Sensia Llc Resource production forecasting
US10942293B2 (en) * 2017-07-21 2021-03-09 Halliburton Energy Services, Inc. Rock physics based method of integrated subsurface reservoir characterization for use in optimized stimulation design of horizontal wells
CA3076523C (en) * 2017-09-28 2023-04-04 Chevron, U.S.A. Systems and methods for estimating a likelihood of reservoir productivity as a function of position in a subsurface volume of interest
EP3688655A4 (en) * 2017-09-28 2021-06-16 Chevron U.S.A. Inc. SYSTEMS AND METHODS FOR ESTIMATING RESERVOIR PRODUCTIVITY AS A FUNCTION OF LOCATION IN AN UNDERGROUND VOLUME OF INTEREST
CA3072107C (en) * 2017-09-28 2022-08-30 Chevron U.S.A. Inc. Systems and methods for estimating reservoir productivity as a function of depth in a subsurface volume of interest
US11423197B2 (en) * 2017-09-28 2022-08-23 Chevron U.S.A. Inc. Systems and methods for estimating a well design reservoir productivity as a function of position in a subsurface volume of interest based on a reservoir productivity parameter
US10997518B2 (en) * 2018-02-14 2021-05-04 Duc Lam Method for predicting oil and gas reservoir production
US11371336B2 (en) * 2019-09-19 2022-06-28 Chevron U.S.A. Inc. Systems and methods for estimating refined reservoir productivity values as a function of position in a subsurface volume of interest
US11506813B2 (en) * 2020-01-28 2022-11-22 Chevron U.S.A. Inc. Systems and methods for generating subsurface feature prediction probability distributions as a function of position in a subsurface volume of interest

Also Published As

Publication number Publication date
US20190094414A1 (en) 2019-03-28
EP3688498B1 (en) 2023-06-21
CA3076523C (en) 2023-04-04
EP3688498A4 (en) 2021-06-16
WO2019067212A1 (en) 2019-04-04
CA3076523A1 (en) 2019-04-04
US11313993B2 (en) 2022-04-26
EP3688498A1 (en) 2020-08-05

Similar Documents

Publication Publication Date Title
AR113194A1 (es) Sistemas y métodos para estimar una probabilidad de productividad de un reservorio como función de la posición en un volumen de subsuelo de interés
AR113152A1 (es) Sistemas y métodos para estimar la productividad de un reservorio como una función de la profundidad en un volumen subsuperficial de interés
AR113195A1 (es) Sistemas y métodos para estimar la productividad de un reservorio como función de la posición en un volumen de subsuelo de interés
AR084654A1 (es) Modelado de fracturas hidraulicas
MX2015016369A (es) Procesamiento de datos sismicos.
AR110650A1 (es) Estado de tensión especialmente diseñado con terminaciones de múltiples pozos
AR120003A1 (es) Sistemas y métodos para estimar valores de productividad de reservorio refinada en función de la posición en un volumen subterráneo de interés
AR100889A1 (es) Estimación del rendimiento de producción de un pozo en sistemas de yacimientos fracturados
AR102682A1 (es) Sistemas y métodos para optimizar operaciones de fracturación en una formación
AR097876A1 (es) Predicción de riesgos en tiempo real durante las operaciones de perforación
AR101975A1 (es) Predicción de desgaste del revestimiento utilizando modelos integrados dirigidos por física y por datos
AR107313A1 (es) Generación de modelos digitales de rendimiento de cultivos basados en fechas de siembra y valores de madurez relativa
AR098175A1 (es) Predicción de riesgos en tiempo real durante operaciones de perforación
AR097368A1 (es) Actualización dinámica de compartimientos que presentan una o varias estructuras geológicas
AR102461A1 (es) Mejora de inversión direccionamiento geológico utilizando herramienta electromagnética de adelante y de alrededor
CO2017000332A2 (es) Coŵpuestos heterocíclicos como receptores huérfanos relacionados con retinoide gamma-t (ror γt)
MX2015005627A (es) Sistemas y metodos para conversion de profundidad de datos sismicos 3d utlizando redes neuronales artificiales.
GB2546047A (en) Three-dimensional rock properties using cross well seismic
AR102404A1 (es) Análisis de velocidad tomográfico restringido por tensor de estructura
PE20141811A1 (es) Un metodo para ayudar en la exploracion, diseno de mina, evaluacion y/o extraccion de depositos de mineral metalifero y/o diamante
CL2019000199A1 (es) Método electroquímico de generación de amoniaco.
GB2551933A (en) Paleogeographic reconstruction of an area of the earth crust
EA201591343A1 (ru) Система и способ вычислительной геологии
AR098169A1 (es) Generador de mapas de trayectorias con análisis de ingeniería de perforación para el modelado de reservorios de hidrocarburos
AR097725A1 (es) Operaciones de perforaciones de pozos que involucran métodos computacionales que producen perfiles de depresión

Legal Events

Date Code Title Description
FG Grant, registration