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1. 发明申请

US20130324442A1 Compositions and Method for Treating Out Hydrogen Sulfide and Preventing Settling of Precipitate in an Environmentally Responsible Drilling and Packer Fluid 有权
标题翻译：用于处理硫化氢的组合物和方法以及防止在环境负责的钻井和封隔器流体中沉淀沉降
公开(公告)号：US20130324442A1
公开(公告)日：2013-12-05
申请号：US13483050
申请日：2012-05-30
申请人： John Adrian Hall , Kushabhau D. Teke , Pramod Dadasaheb Nikam
发明人： John Adrian Hall , Kushabhau D. Teke , Pramod Dadasaheb Nikam
IPC分类号： C09K8/08 , C09K8/34 , C09K8/06
CPC分类号： C09K8/532 , C09K8/06 , C09K8/08 , C09K8/34 , C09K8/36 , C09K8/54 , C09K2208/20
摘要： An environmentally responsible iron chelating additive and method for removing hydrogen sulfide or sulfide ions from drilling and packer fluids and preventing settling of precipitates. Iron chelating agents selected from the group consisting of ferrous lactate, ferrous gluconate, ferrous bis glycinate, ferrous citrate, ferrous acetate, ferrous fumarate, ferrous succinate, ferrous sacchrate, ferrous tartarate, ferrous glycine sulfate, ferrous glutamate, ferrous ascorbate, ferrous polymaltose, or a combination thereof, may be used. When the fluids are oil based, the iron chelating agents are added to the water phase of an emulsion, and the emulsion is added to the fluid. Viscosifiers may also be added to the drilling fluid with the emulsion.
摘要翻译：一种环境友好的铁螯合添加剂和从钻井和封隔器流体中除去硫化氢或硫化物离子并防止沉淀沉淀的方法。选自以下的铁螯合剂选自由乳酸亚铁，葡萄糖酸亚铁，柠檬酸亚铁，柠檬酸亚铁，富马酸亚铁，亚铁亚铁，亚铁亚铁，酒石酸亚铁，甘氨酸亚铁，谷氨酸亚铁，亚硫酸亚铁，多糖麦芽糖，或其组合。当流体为油基时，将铁螯合剂加入到乳液的水相中，并将乳液加入到流体中。还可以使用乳液将粘度计添加到钻井液中。

2. 发明授权

US09117169B2 Methods and apparatuses for modeling shale characteristics in wellbore servicing fluids using an artificial neural network 有权
标题翻译：使用人造神经网络对井眼维修流体中的页岩特征进行建模的方法和装置
公开(公告)号：US09117169B2
公开(公告)日：2015-08-25
申请号：US13480245
申请日：2012-05-24
申请人： Dale E. Jamison , Shadaab S. Maghrabi , Dhanashree Gajanan Kulkarni , Kushabhau D. Teke , Sandeep D. Kulkarni
发明人： Dale E. Jamison , Shadaab S. Maghrabi , Dhanashree Gajanan Kulkarni , Kushabhau D. Teke , Sandeep D. Kulkarni
IPC分类号： G06N3/02 , G06N3/04 , G06N3/08
CPC分类号： G06N3/02 , G06N3/04 , G06N3/08
摘要： An apparatus and method for determining a formation/fluid interaction of a target formation and a target drilling fluid is described herein. The method may include training an artificial neural network using a training data set. The training data set may include a formation characteristic of a source formation and a fluid characteristic of a source drilling fluid and experimental data on source formation/fluid interaction. Once the artificial neural network is trained, a formation characteristic of the target formation and fluid characteristic of target drilling fluid may be input. The formation characteristic of the target formation may correspond to the formation characteristic of the source formation. The fluid characteristic of the target drilling fluid may correspond to the fluid characteristic of the source drilling fluid. A formation/fluid interaction of the target formation and the target drilling fluid may be determined using a value output by the artificial neural network.
摘要翻译：本文描述了用于确定目标地层和目标钻井流体的地层/流体相互作用的装置和方法。该方法可以包括训练使用训练数据集的人造神经网络。训练数据集可以包括源地层的形成特征和源钻井液的流体特性以及源地层/流体相互作用的实验数据。一旦人工神经网络被训练，可以输入目标形成的形成特征和目标钻井液的流体特性。目标地层的形成特征可以对应于源地层的地层特征。目标钻井液的流体特性可以对应于源钻井液的流体特性。可以使用人造神经网络输出的值来确定目标地层和目标钻井液的地层/流体相互作用。

3. 发明授权

US08991520B2 Mathematical modeling of shale swelling in water based muds 有权
标题翻译：水泥泥页岩膨胀数学建模
公开(公告)号：US08991520B2
公开(公告)日：2015-03-31
申请号：US13424696
申请日：2012-03-20
申请人： Sandeep D. Kulkarni , Shadaab S. Maghrabi , Kushabhau D. Teke , Dhanashree Gajanan Kulkarni
发明人： Sandeep D. Kulkarni , Shadaab S. Maghrabi , Kushabhau D. Teke , Dhanashree Gajanan Kulkarni
IPC分类号： E21B49/00 , E21B7/00 , E21B21/06
CPC分类号： E21B21/06
摘要： A method of servicing a wellbore comprises determining a cation exchange capacity of a sample of a shale, determining a swelling characteristic of the shale using the cation exchange capacity in an equation comprising a term of the form: Az % salt=x(cation exchange capacity)y where Az % salt is a final swelling volume of the shale in the presence of an aqueous fluid having a salt concentration of z %, and x and y are empirical constants, determining a composition of a wellbore servicing fluid based on the determined swelling characteristic, and drilling the wellbore using the wellbore servicing fluid. The swelling characteristic of the shale can be determined using the cation exchange capacity of the shale and a salt concentration in an equation comprising a term of the form: Am % salt=f(m,z)*(x)(cation exchange capacity)y where Am % salt is a final swelling volume of the shale in contact with an aqueous fluid having a salt concentration of m %, f(m,z) is a function based on the salt concentration of m % relative to salt concentration of z % in the aqueous fluid in contact with the shale, and x and y are empirical constants defining the relation Az % salt=x (cation exchange capacity)y.
摘要翻译：维护井筒的方法包括确定页岩样品的阳离子交换能力，使用阳离子交换容量确定页岩的溶胀特性，该方程式包括以下形式的项：Az％salt = x（阳离子交换容量）y，其中Az％盐是在盐浓度为z％的含水流体存在下页岩的最终溶胀体积，x和y是经验常数，基于确定的溶胀确定井筒维修流体的组成特点，并使用井筒维修流体钻井井。页岩的膨胀特征可以使用页岩的阳离子交换能力和在包含以下形式的项的方程式中的盐浓度来确定：Am％盐= f（m，z）*（x）（阳离子交换容量） y，其中Am％盐是与盐浓度为m％的含水流体接触的页岩的最终溶胀体积，f（m，z）是基于盐浓度相对于盐浓度的m％的函数在与页岩接触的含水流体中的％，x和y是定义关系Az％salt = x（阳离子交换容量）y的经验常数。

4. 发明申请

US20130332089A1 Methods for Predicting Dynamic Sag Using Viscometer/Rheometer Data 有权
标题翻译：使用粘度计/流变仪数据预测动态凹陷的方法
公开(公告)号：US20130332089A1
公开(公告)日：2013-12-12
申请号：US13492885
申请日：2012-06-10
申请人： Sandeep Kulkarni , Sharath Savari , Kushabhau D. Teke , Dale E. Jamison , Robert J. Murphy , Anita Gantepla
发明人： Sandeep Kulkarni , Sharath Savari , Kushabhau D. Teke , Dale E. Jamison , Robert J. Murphy , Anita Gantepla
IPC分类号： G01N11/00 , G06F19/00
CPC分类号： G01N15/04 , G01N11/00
摘要： A method for quantitatively determining dynamic barite sag in drilling fluids includes measuring rheological properties with viscometers and/or rheometers, and introducing the parameters into an equation to obtain the sag rate.
摘要翻译：用于定量测定钻井液中的动态重晶石垂度的方法包括用粘度计和/或流变仪测量流变特性，并将参数引入方程中以获得下垂速率。

5. 发明授权

US09605194B2 Compositions and method for treating out hydrogen sulfide and preventing settling of precipitate in an environmentally responsible drilling and packer fluid 有权
公开(公告)号：US09605194B2
公开(公告)日：2017-03-28
申请号：US13483050
申请日：2012-05-30
申请人： John Adrian Hall , Kushabhau D. Teke , Pramod Dadasaheb Nikam
发明人： John Adrian Hall , Kushabhau D. Teke , Pramod Dadasaheb Nikam
IPC分类号： C09K8/08 , C09K8/06 , C09K8/34 , C09K8/532 , C09K8/54
CPC分类号： C09K8/532 , C09K8/06 , C09K8/08 , C09K8/34 , C09K8/36 , C09K8/54 , C09K2208/20
摘要： An environmentally responsible iron chelating additive and method for removing hydrogen sulfide or sulfide ions from drilling and packer fluids and preventing settling of precipitates. Iron chelating agents selected from the group consisting of ferrous lactate, ferrous gluconate, ferrous bis glycinate, ferrous citrate, ferrous acetate, ferrous fumarate, ferrous succinate, ferrous sacchrate, ferrous tartarate, ferrous glycine sulfate, ferrous glutamate, ferrous ascorbate, ferrous polymaltose, or a combination thereof, may be used. When the fluids are oil based, the iron chelating agents are added to the water phase of an emulsion, and the emulsion is added to the fluid. Viscosifiers may also be added to the drilling fluid with the emulsion.

6. 发明申请

US20130318019A1 METHODS AND APPARATUSES FOR MODELING SHALE CHARACTERISTICS IN WELLBORE SERVICING FLUIDS USING AN ARTIFICIAL NEURAL NETWORK 有权
标题翻译：使用人工神经网络在井筒维修流体中建模沙粒特性的方法和装置
公开(公告)号：US20130318019A1
公开(公告)日：2013-11-28
申请号：US13480245
申请日：2012-05-24
申请人： Dale E. Jamison , Shadaab S. Maghrabi , Dhanashree Gajanan Kulkarni , Kushabhau D. Teke , Sandeep D. Kulkarni
发明人： Dale E. Jamison , Shadaab S. Maghrabi , Dhanashree Gajanan Kulkarni , Kushabhau D. Teke , Sandeep D. Kulkarni
IPC分类号： G06F15/18
CPC分类号： G06N3/02 , G06N3/04 , G06N3/08
摘要： An apparatus and method for determining a formation/fluid interaction of a target formation and a target drilling fluid is described herein. The method may include training an artificial neural network using a training data set. The training data set may include a formation characteristic of a source formation and a fluid characteristic of a source drilling fluid and experimental data on source formation/fluid interaction. Once the artificial neural network is trained, a formation characteristic of the target formation and fluid characteristic of target drilling fluid may be input. The formation characteristic of the target formation may correspond to the formation characteristic of the source formation. The fluid characteristic of the target drilling fluid may correspond to the fluid characteristic of the source drilling fluid. A formation/fluid interaction of the target formation and the target drilling fluid may be determined using a value output by the artificial neural network.
摘要翻译：本文描述了用于确定目标地层和目标钻井流体的地层/流体相互作用的装置和方法。该方法可以包括使用训练数据集来训练人造神经网络。训练数据集可以包括源地层的形成特征和源钻井液的流体特性以及源地层/流体相互作用的实验数据。一旦人工神经网络被训练，可以输入目标形成的形成特征和目标钻井液的流体特性。目标地层的地层特征可以对应于源地层的地层特征。目标钻井液的流体特性可以对应于源钻井液的流体特性。可以使用人造神经网络输出的值来确定目标地层和目标钻井液的地层/流体相互作用。

7. 发明申请

US20130248251A1 Mathematical Modeling of Shale Swelling in Water Based Muds 有权
标题翻译：水泥浆中页岩膨胀的数学建模
公开(公告)号：US20130248251A1
公开(公告)日：2013-09-26
申请号：US13424696
申请日：2012-03-20
申请人： Sandeep D. KULKARNI , Shadaab S. MAGHRABI , Kushabhau D. TEKE , Dhanashree Gajanan KULKARNI
发明人： Sandeep D. KULKARNI , Shadaab S. MAGHRABI , Kushabhau D. TEKE , Dhanashree Gajanan KULKARNI
IPC分类号： E21B49/00 , G06G7/48 , G06F17/10 , E21B7/00
CPC分类号： E21B21/06
摘要： A method of servicing a wellbore comprises determining a cation exchange capacity of a sample of a shale, determining a swelling characteristic of the shale using the cation exchange capacity in an equation comprising a term of the form: Az% salt=x(cation exchange capacity)y where Az% salt is a final swelling volume of the shale in the presence of an aqueous fluid having a salt concentration of z %, and x and y are empirical constants, determining a composition of a wellbore servicing fluid based on the determined swelling characteristic, and drilling the wellbore using the wellbore servicing fluid. The swelling characteristic of the shale can be determined using the cation exchange capacity of the shale and a salt concentration in an equation comprising a term of the form: Am% salt=f(m,z)*(x)(cation exchange capacity)y where Am% salt is a final swelling volume of the shale in contact with an aqueous fluid having a salt concentration of m %, f(m,z) is a function based on the salt concentration of m % relative to salt concentration of z % in the aqueous fluid in contact with the shale, and x and y are empirical constants defining the relation Az% salt=x(cation exchange capacity)y.
摘要翻译：维护井筒的方法包括确定页岩样品的阳离子交换能力，使用阳离子交换容量确定页岩的溶胀特性，该方程式包括以下形式的项：Az％salt = x（阳离子交换容量）y，其中Az％盐是在盐浓度为z％的含水流体存在下页岩的最终溶胀体积，x和y是经验常数，基于确定的溶胀确定井筒维修流体的组成特点，并使用井筒维修流体钻井井。页岩的膨胀特征可以使用页岩的阳离子交换能力和在包含以下形式的项的方程式中的盐浓度来确定：Am％盐= f（m，z）*（x）（阳离子交换容量） y，其中Am％盐是与盐浓度为m％的含水流体接触的页岩的最终溶胀体积，f（m，z）是基于盐浓度相对于盐浓度的m％的函数在与页岩接触的含水流体中的％，x和y是定义关系Az％salt = x（阳离子交换容量）y的经验常数。

8. 发明授权

US09513203B2 Methods for predicting dynamic sag using viscometer/rheometer data 有权
标题翻译：使用粘度计/流变仪数据预测动态下垂的方法
公开(公告)号：US09513203B2
公开(公告)日：2016-12-06
申请号：US13492885
申请日：2012-06-10
申请人： Sandeep Kulkarni , Sharath Savari , Kushabhau D. Teke , Dale E. Jamison , Robert J. Murphy , Anita Gantepla
发明人： Sandeep Kulkarni , Sharath Savari , Kushabhau D. Teke , Dale E. Jamison , Robert J. Murphy , Anita Gantepla
IPC分类号： G01N11/00 , G06F19/00 , G01N15/04
CPC分类号： G01N15/04 , G01N11/00
摘要： A method for quantitatively determining dynamic barite sag in drilling fluids includes measuring rheological properties with viscometers and/or rheometers, and introducing the parameters into an equation to obtain the sag rate.
摘要翻译：用于定量测定钻井液中的动态重晶石垂度的方法包括用粘度计和/或流变仪测量流变特性，并将参数引入方程中以获得下垂速率。

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