EP1503258A1 - Verfahren zur Optimierung der Ausbeutung einer Ölquelle - Google Patents
Verfahren zur Optimierung der Ausbeutung einer Ölquelle Download PDFInfo
- Publication number
- EP1503258A1 EP1503258A1 EP04291232A EP04291232A EP1503258A1 EP 1503258 A1 EP1503258 A1 EP 1503258A1 EP 04291232 A EP04291232 A EP 04291232A EP 04291232 A EP04291232 A EP 04291232A EP 1503258 A1 EP1503258 A1 EP 1503258A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- production
- parameters
- deposit
- criterion
- intrinsic
- Prior art date
- Legal status (The legal status 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 status listed.)
- Ceased
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000004519 manufacturing process Methods 0.000 claims abstract description 84
- 238000011161 development Methods 0.000 claims description 36
- 229930195733 hydrocarbon Natural products 0.000 claims description 22
- 150000002430 hydrocarbons Chemical class 0.000 claims description 22
- 238000009826 distribution Methods 0.000 claims description 20
- 238000004088 simulation Methods 0.000 claims description 13
- 239000004215 Carbon black (E152) Substances 0.000 claims description 12
- 238000002474 experimental method Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 6
- 238000000528 statistical test Methods 0.000 claims description 5
- 238000013401 experimental design Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 239000003208 petroleum Substances 0.000 claims description 2
- 238000005457 optimization Methods 0.000 abstract description 20
- 230000035699 permeability Effects 0.000 abstract description 4
- 230000035945 sensitivity Effects 0.000 abstract description 2
- 238000011002 quantification Methods 0.000 abstract 1
- 230000001186 cumulative effect Effects 0.000 description 18
- 102100036109 Dual specificity protein kinase TTK Human genes 0.000 description 12
- 101000659223 Homo sapiens Dual specificity protein kinase TTK Proteins 0.000 description 12
- 238000011084 recovery Methods 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 238000013459 approach Methods 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000003066 decision tree Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 3
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- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000012067 mathematical method Methods 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000000342 Monte Carlo simulation Methods 0.000 description 1
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- 239000002131 composite material Substances 0.000 description 1
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- 230000001955 cumulated effect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 238000010206 sensitivity analysis Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK 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
Definitions
- the present allows to study and / or optimize a production scheme of an oil field. It makes it possible to evaluate the risks taken in terms of development scheme, to compare several schemes, and to define a optimal scheme taking into account a given production criterion, for example the maximizing oil recovery, minimizing recovery water, maintaining the production flow at a given value during a given period.
- the present invention aims at optimizing a scheme of production in a probabilistic framework. Indeed, the optimization is carried out in taking into account the uncertainties inherent in the reservoir.
- Production schema optimization is a very problem interesting since it aims at better management (in terms of cost, profit, safety, respect of the environment) of the production of tanks oil.
- the method according to the invention makes it possible to study this problematic in a more general context than the one used until now: it allows optimization while integrating the different sources of uncertainty on the tank.
- step c we can quantify the relative influence of the parameters between them and one can delete the parameters having an influence negligible on the criterion of production of the deposit over time.
- step c) it is possible to set the value of at least one of said intrinsic parameters to the deposit and one can determine the value of at minus one of the said parameters related to the development options of the deposit in order to optimize the production criterion.
- step c) the following steps can be performed: i) a draw is made randomness of several values of at least one of said intrinsic parameters at the deposit according to its law of uncertainty, ii) the values of at least one of the said parameters related to the development options of the deposit of in order to optimize the production criterion for each value drawn in step i), iii) from the values determined in step ii) the distribution is obtained optimal of said parameters related to the development options of the deposit.
- the analytical model can be determined using a plan experience, each experiment consisting of a simulation of the deposit tanker carried out by the flow simulator. In step b), also determine the analytical model using networks of neurons.
- said at least one parameter intrinsic to the deposit may be of the discrete, continuous, and / or stochastic type.
- the method according to the invention can be applied whatever the state of field development (apraisal, mature fields ).
- the invention is schematized by the diagram of FIG.
- Step 1 Determination of uncertain parameters and options development
- the first step of the method according to the invention consists in selecting uncertain technical parameters related to the reservoir considered and having a influence on the production profiles of hydrocarbons or water by the tank.
- the parameters dedicated to the development have a strong impact on production given the presence of other uncertainties. Indeed, it is possible that the uncertainty on one of the intrinsic parameters to the reservoir, such that the different options for development have a negligible impact on production, taking into account the prevailing uncertainty.
- a joint sensitivity analysis is carried out, ie including times the uncertain parameters intrinsic to the reservoir and the parameters of production. To do this, one can use the method of the plans of experiments previously cited [3].
- the basic principle of this theory consists, knowing the ranges of variation of the parameters studied, to recommend a series of simulations that will assess the sensitivity to different parameters of cumulative production at twelve years. For example, we realize sixteen flow simulations to obtain an analytical modeling of the cumulative hydrocarbon production behavior at twelve years in according to the five parameters studied.
- Step 2 approximation of the flow simulator
- the oil field is modeled using a digital simulator tank.
- the tank simulator or flow simulator allows in particular to calculate the production of hydrocarbons or water over time according to technical parameters such as the number of layers of reservoir, the permeability of the layers the strength of the aquifer, the position of the well oil, etc.
- An analytical model expressing a production criterion is determined studied over time, from a finite number of values this criterion previously obtained using the flow simulator.
- the simulations are performed by varying the different parameters selected in Step 1.
- the analytical model can be determined using mathematical methods such as experimental designs, networks of neurons, etc.
- Step 3 Risk analysis by uncertain parameters and options development.
- the analytical model (of order 2), one can obtain a diagnosis quantitative. Indeed, it is important to verify that this model retranscribes faithfully the simulated values and moreover that it can be used so reliable for making predictions of cumulative hydrocarbon production at twelve years in other points than those simulated. To do this, we can use the calculation of a statistical criterion to evaluate the quality of the adjustment and of the predictivity of the analytical model.
- the analytical model makes it possible to perform calculations of prediction of cumulative 12-year hydrocarbon production at any point in the uncertain domain, without resorting again to the flow simulator.
- Step 4 Optimizing a development schema
- the optimization of a development scheme consists in determining the tank operating scheme options (type of well, location of well, positioning of completions, type of recovery %) which allows the better recovery of hydrocarbon or water.
- optimization makes it possible to define the optimal position of the P1 well to maximize cumulative hydrocarbon recovery at twelve years.
- This optimization can be carried out in two ways: deterministic or probabilistic.
- Deterministic optimization consists of setting each of the uncertain parameters to a given value (the one that seems most likely), and to search in this context that has become deterministic (the uncertainties are now lifted) the values of P1X and P1Y which maximize the cumulative oil at 12 years old.
- Probabilistic optimization is a generalization of optimization deterministic in the sense that it does not restrict the uncertain parameters to a probable value but incorporates all their randomness.
- each of the uncertain parameters retains its distribution likelihood (as in the sampling phase), and in this probabilistic context the development options that maximize the production.
- FIG. 5 represents the optimal distribution of the well P1 along the x-axis, given the existing uncertainty (values of x are given in value normalized between [-1,1]).
- Figure 6 represents the distribution of the well P1 along the y-axis, taking into account the existing uncertainty (the values of y are given in standardized value between [-1,1]).
- Figure 7 shows the residual variability of the production cumulated hydrocarbons at age 12 in the context of a optimal development but in the presence of reservoir uncertainties that one does not can control.
- the optimal solution corresponds to a well location located in mesh 9 (0.27 in normalized) along the x-axis, and mesh 22 (014 normalized) along the y-axis.
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR0306637A FR2855631A1 (fr) | 2003-06-02 | 2003-06-02 | Methode pour optimiser la production d'un gisement petrolier en presence d'incertitudes |
| FR0306637 | 2003-06-02 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP1503258A1 true EP1503258A1 (de) | 2005-02-02 |
Family
ID=33427604
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP04291232A Ceased EP1503258A1 (de) | 2003-06-02 | 2004-05-13 | Verfahren zur Optimierung der Ausbeutung einer Ölquelle |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US7054752B2 (de) |
| EP (1) | EP1503258A1 (de) |
| CA (1) | CA2469960C (de) |
| FR (1) | FR2855631A1 (de) |
| NO (1) | NO335800B1 (de) |
Families Citing this family (61)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6574565B1 (en) * | 1998-09-15 | 2003-06-03 | Ronald R. Bush | System and method for enhanced hydrocarbon recovery |
| US6853921B2 (en) | 1999-07-20 | 2005-02-08 | Halliburton Energy Services, Inc. | System and method for real time reservoir management |
| FR2837947B1 (fr) * | 2002-04-02 | 2004-05-28 | Inst Francais Du Petrole | Methode pour quantifier les incertitudes liees a des parametres continus et discrets descriptifs d'un milieu par construction de plans d'experiences et analyse statistique |
| US7584165B2 (en) | 2003-01-30 | 2009-09-01 | Landmark Graphics Corporation | Support apparatus, method and system for real time operations and maintenance |
| FR2855633B1 (fr) * | 2003-06-02 | 2008-02-08 | Inst Francais Du Petrole | Methode d'aide a la prise de decision pour la gestion d'un gisement petrolier en presence de parametres techniques et economiques incertains |
| FR2874706B1 (fr) | 2004-08-30 | 2006-12-01 | Inst Francais Du Petrole | Methode de modelisation de la production d'un gisement petrolier |
| CA2616816A1 (en) * | 2005-07-27 | 2007-02-15 | Exxonmobil Upstream Research Company | Well modeling associated with extraction of hydrocarbons from subsurface formations |
| CN101238465B (zh) * | 2005-07-27 | 2010-10-27 | 埃克森美孚上游研究公司 | 与从地下岩层抽取碳氢化合物相关的井建模 |
| CA2613817C (en) * | 2005-07-27 | 2015-11-24 | Exxonmobil Upstream Research Company | Well modeling associated with extraction of hydrocarbons from subsurface formations |
| GB0524134D0 (en) * | 2005-11-26 | 2006-01-04 | Univ Edinburgh | Improvements in and relating to hydrocarbon recovery from a hydrocarbon reservoir |
| EP1999492A4 (de) | 2006-01-20 | 2011-05-18 | Landmark Graphics Corp | Dynamisches produktionsverwaltungssystem |
| US8504341B2 (en) * | 2006-01-31 | 2013-08-06 | Landmark Graphics Corporation | Methods, systems, and computer readable media for fast updating of oil and gas field production models with physical and proxy simulators |
| CN101379498B (zh) * | 2006-01-31 | 2012-05-30 | 兰德马克绘图公司 | 使用物理和代理仿真器的用于快速更新油气田生产模型的方法和系统 |
| CN101379271B (zh) * | 2006-01-31 | 2012-11-07 | 兰德马克绘图公司 | 使用代理仿真器的用于实时油气田生产优化的方法、系统和计算机可读介质 |
| US7486589B2 (en) | 2006-02-09 | 2009-02-03 | Schlumberger Technology Corporation | Methods and apparatus for predicting the hydrocarbon production of a well location |
| EP1989396A4 (de) * | 2006-02-10 | 2014-08-27 | Exxonmobil Upstream Res Co | Flexible bohrlochkomplettierungen |
| CN101548264B (zh) | 2006-10-31 | 2015-05-13 | 埃克森美孚上游研究公司 | 使用物质平衡分组对储层系统的建模和管理 |
| US8898018B2 (en) * | 2007-03-06 | 2014-11-25 | Schlumberger Technology Corporation | Methods and systems for hydrocarbon production |
| FR2919932B1 (fr) * | 2007-08-06 | 2009-12-04 | Inst Francais Du Petrole | Methode pour evaluer un schema de production d'un gissement souterrain en tenant compte des incertitudes |
| US8768672B2 (en) * | 2007-08-24 | 2014-07-01 | ExxonMobil. Upstream Research Company | Method for predicting time-lapse seismic timeshifts by computer simulation |
| US8423337B2 (en) * | 2007-08-24 | 2013-04-16 | Exxonmobil Upstream Research Company | Method for multi-scale geomechanical model analysis by computer simulation |
| US8548782B2 (en) * | 2007-08-24 | 2013-10-01 | Exxonmobil Upstream Research Company | Method for modeling deformation in subsurface strata |
| US8265915B2 (en) * | 2007-08-24 | 2012-09-11 | Exxonmobil Upstream Research Company | Method for predicting well reliability by computer simulation |
| US8396826B2 (en) | 2007-12-17 | 2013-03-12 | Landmark Graphics Corporation | Systems and methods for optimization of real time production operations |
| CA2705277C (en) | 2007-12-18 | 2017-01-17 | Exxonmobil Upstream Research Company | Determining connectivity architecture in 2-d and 3-d heterogeneous data |
| EP2232406A4 (de) | 2007-12-21 | 2017-10-18 | Exxonmobil Upstream Research Company | Verfahren und vorrichtung zum analysieren dreidimensionaler daten |
| US20110087471A1 (en) * | 2007-12-31 | 2011-04-14 | Exxonmobil Upstream Research Company | Methods and Systems For Determining Near-Wellbore Characteristics and Reservoir Properties |
| EP2235566A1 (de) * | 2008-01-22 | 2010-10-06 | Exxonmobil Upstream Research Company | Dynamische konnektivitätsanalyse |
| WO2009114211A1 (en) | 2008-03-10 | 2009-09-17 | Exxonmobil Upstream Research Company | Method for determing distinct alternative paths between two object sets in 2-d and 3-d heterogeneous data |
| CN102007459B (zh) * | 2008-04-17 | 2015-01-07 | 埃克森美孚上游研究公司 | 用于储层开发计划的鲁棒性基于优化的决策支持工具 |
| CN102007485B (zh) * | 2008-04-18 | 2014-06-25 | 埃克森美孚上游研究公司 | 储层开发计划的基于markov决策过程的决策支持工具 |
| WO2009131761A2 (en) * | 2008-04-21 | 2009-10-29 | Exxonmobile Upstream Research Company | Stochastic programming-based decision support tool for reservoir development planning |
| US9733388B2 (en) | 2008-05-05 | 2017-08-15 | Exxonmobil Upstream Research Company | Systems and methods for connectivity analysis using functional objects |
| US8527203B2 (en) | 2008-05-27 | 2013-09-03 | Schlumberger Technology Corporation | Method for selecting well measurements |
| BRPI0923412A2 (pt) * | 2008-12-16 | 2016-05-24 | Exxonmobil Upstream Res Co | método, e, produto de programa de computador. |
| US9552462B2 (en) * | 2008-12-23 | 2017-01-24 | Exxonmobil Upstream Research Company | Method for predicting composition of petroleum |
| US8352228B2 (en) * | 2008-12-23 | 2013-01-08 | Exxonmobil Upstream Research Company | Method for predicting petroleum expulsion |
| US8914268B2 (en) | 2009-01-13 | 2014-12-16 | Exxonmobil Upstream Research Company | Optimizing well operating plans |
| EP2406663A1 (de) | 2009-03-13 | 2012-01-18 | Exxonmobil Upstream Research Company | Verfahren zur vorhersage von fluidströmung |
| US20120130696A1 (en) * | 2009-08-12 | 2012-05-24 | Exxonmobil Upstream Research Company | Optimizing Well Management Policy |
| NO20101371A1 (no) * | 2009-10-05 | 2011-04-06 | Logined Bv | Fremgangsmate, system og apparat for modellering av usikkerhet i produksjonssystemnettverk |
| WO2011043862A1 (en) | 2009-10-07 | 2011-04-14 | Exxonmobil Upstream Research Company | Discretized physics-based models and simulations of subterranean regions, and methods for creating and using the same |
| AU2010308495A1 (en) | 2009-10-20 | 2012-05-10 | Exxonmobil Upstream Research Company | Method for quantitatively assessing connectivity for well pairs at varying frequencies |
| US8931580B2 (en) | 2010-02-03 | 2015-01-13 | Exxonmobil Upstream Research Company | Method for using dynamic target region for well path/drill center optimization |
| US9594186B2 (en) | 2010-02-12 | 2017-03-14 | Exxonmobil Upstream Research Company | Method and system for partitioning parallel simulation models |
| EP2545461A4 (de) | 2010-03-12 | 2017-09-27 | Exxonmobil Upstream Research Company | Dynamische gruppierung von domain-objekten über intelligente gruppen |
| US8532968B2 (en) * | 2010-06-16 | 2013-09-10 | Foroil | Method of improving the production of a mature gas or oil field |
| US8412501B2 (en) | 2010-06-16 | 2013-04-02 | Foroil | Production simulator for simulating a mature hydrocarbon field |
| US8855986B2 (en) | 2010-09-03 | 2014-10-07 | Chevron U.S.A. Inc. | Iterative method and system to construct robust proxy models for reservoir simulation |
| EP2668641B1 (de) | 2011-01-26 | 2020-04-15 | Exxonmobil Upstream Research Company | Verfahren zur analyse eines reservoirkompartiments mit topologischer struktur bei 3d-erdmodellen |
| RU2014120155A (ru) | 2011-10-20 | 2015-11-27 | Шлюмбергер Текнолоджи Б.В. | Оптимизация модели с несколькими периодами для экономического оценивания регуляторов расхода |
| EP2811107A1 (de) * | 2013-06-06 | 2014-12-10 | Repsol, S.A. | Verfahren zur Auswahl und Optimierung von Ölfeldbedienelementen für Produktionsplateau |
| EP3008281A2 (de) | 2013-06-10 | 2016-04-20 | Exxonmobil Upstream Research Company | Interaktive planung einer bohrstelle |
| US9864098B2 (en) | 2013-09-30 | 2018-01-09 | Exxonmobil Upstream Research Company | Method and system of interactive drill center and well planning evaluation and optimization |
| CN105388531B (zh) * | 2015-10-19 | 2018-01-09 | 成都理工大学 | 一种基于支持向量回归机和核fisher分析的岩性识别方法 |
| US20180082202A1 (en) * | 2016-09-20 | 2018-03-22 | Public Engines, Inc. | Device and method for generating a crime type combination based on historical incident data |
| US11041976B2 (en) | 2017-05-30 | 2021-06-22 | Exxonmobil Upstream Research Company | Method and system for creating and using a subsurface model in hydrocarbon operations |
| US11634980B2 (en) | 2019-06-19 | 2023-04-25 | OspreyData, Inc. | Downhole and near wellbore reservoir state inference through automated inverse wellbore flow modeling |
| US12410689B2 (en) | 2019-10-31 | 2025-09-09 | Landmark Graphics Corporation | Flow simulator for generating reservoir management workflows and forecasts based on analysis of high-dimensional parameter data space |
| CN113962145B (zh) * | 2021-10-08 | 2024-06-28 | 北京航空航天大学 | 一种区间数据样本条件下的参数不确定性量化建模方法 |
| CN116464437B (zh) * | 2023-04-23 | 2024-04-12 | 西南石油大学 | 一种碳酸盐岩气藏地层水产水量的预测方法 |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB9015433D0 (en) * | 1990-07-13 | 1990-08-29 | Anadrill Int Sa | Method of determining the drilling conditions associated with the drilling of a formation with a drag bit |
| US5444619A (en) * | 1993-09-27 | 1995-08-22 | Schlumberger Technology Corporation | System and method of predicting reservoir properties |
| US5992519A (en) * | 1997-09-29 | 1999-11-30 | Schlumberger Technology Corporation | Real time monitoring and control of downhole reservoirs |
| US6980940B1 (en) * | 2000-02-22 | 2005-12-27 | Schlumberger Technology Corp. | Intergrated reservoir optimization |
| US6494525B1 (en) * | 2000-09-15 | 2002-12-17 | Sika Corporation | Side impact reinforcement |
| US6836731B1 (en) * | 2001-02-05 | 2004-12-28 | Schlumberger Technology Corporation | Method and system of determining well performance |
-
2003
- 2003-06-02 FR FR0306637A patent/FR2855631A1/fr not_active Withdrawn
-
2004
- 2004-05-13 EP EP04291232A patent/EP1503258A1/de not_active Ceased
- 2004-05-28 CA CA2469960A patent/CA2469960C/fr not_active Expired - Fee Related
- 2004-06-01 NO NO20042267A patent/NO335800B1/no not_active IP Right Cessation
- 2004-06-02 US US10/857,945 patent/US7054752B2/en not_active Expired - Lifetime
Non-Patent Citations (1)
| Title |
|---|
| No Search * |
Also Published As
| Publication number | Publication date |
|---|---|
| NO20042267L (no) | 2004-12-03 |
| CA2469960A1 (fr) | 2004-12-02 |
| CA2469960C (fr) | 2013-02-19 |
| NO335800B1 (no) | 2015-02-16 |
| FR2855631A1 (fr) | 2004-12-03 |
| US20040254734A1 (en) | 2004-12-16 |
| US7054752B2 (en) | 2006-05-30 |
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