Abstract: A method for dynamically constructing a well includes receiving inputs that specify characteristics of a proposed well. An indicator is generated for construction of the proposed well using the inputs and a machine learning model trained using data from actual wells, and the indicator is transmitted.

Abstract: A computer usable medium including computer usable program code for determining an oilfield parameter for a drilling operation. The computer usable program code when executed causing a processor to identify first decision factors and second decision factors about the drilling operation, where each of the first decision factors is contained within first nodes, and where each of the second decision factors is contained within second nodes, where the first and second nodes contain common nodes. The computer usable program code further causing the processor to associate the first nodes to create a first belief network and associate the second nodes to create a second belief network, associate the common nodes of the first belief network with the common nodes of the second belief network to form a multinet belief network, and generate at least one oilfield parameter from the multinet belief network.

Abstract: A method, system and computer program product for performing a drilling operation for an oil field, the oil field having a subterranean formation with geological structures and reservoirs therein. The method involves creating a finite-difference model to simulate behavior of a drilling assembly used to drill a wellbore in the drilling operation, performing a simulation of the drilling operation using the finite-difference model, analyzing a result of the simulation, and selectively modifying the drilling operation based on the analysis.

Abstract: A method for performing an oilfield operation at a wellsite having a drilling rig configured to advance a drilling tool into a subsurface formation. The method includes generating a borehole temperature model for an area of interest using water depth information and a vertical stress model, generating a formation temperature model using the borehole temperature model, generating a mud-weight pressure model using the formation temperature model and pressure coefficients, generating a formation pore pressure model using the mud-weight pressure model, and adjusting the oilfield operation based on the formation pore pressure model.

Abstract: A method is disclosed for modeling a first reservoir while drilling a wellbore into a corresponding second reservoir, the first reservoir having a plurality of stations, comprising: determining a plurality of values of net present value corresponding, respectively, to the plurality of stations of the first reservoir; and drilling the wellbore into the corresponding second reservoir in accordance with the plurality of values of net present value.

Abstract: A method is disclosed for optimal lift gas allocation, comprising: optimally allocating lift gas under a total lift gas constraint or a total produced gas constraint, the allocating step including distributing lift gas among all gas lifted wells in a network so as to maximize a liquid or oil rate at a sink.

Abstract: A method is disclosed for generating a wellsite design, comprising: designing a workflow for an Earth Model; building an initial Earth Model based on the workflow adapted for modeling drilling and completions operations in a hydrocarbon reservoir; calibrating the initial Earth Model thereby generating a calibrated Earth Model; and generating the wellsite design using the calibrated Earth Model.

Abstract: A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir.

Abstract: A method is disclosed, which is practiced by a reservoir simulator, for simulating a reservoir and generating a set of simulation results, the simulation results including a framework, the framework further including a plurality of grid cells, comprising: generating one or more static and dynamic regions within the grid cells of the framework of the simulation results, the static and dynamic regions each having region values, wherein the region values of the static regions cannot be allowed to change dynamically, and wherein the region values of the dynamic regions can be allowed to change dynamically.

Abstract: A method for determining oil viscosity and continuous gas-oil-ratio (GOR) from nuclear magnetic resonance logs (NMR). The method includes obtaining a set of NMR data of a portion of the subterranean formation from inside the wellbore without acquiring formation fluid sample; isolating a quantitative reservoir fluid information associated with oil from oil based mud (OBM) using radial profiling of the set of NMR data, wherein the OBM is used for extracting fluid from the underground reservoir; determining GOR related information associated with the portion of the subterranean formation from the quantitative reservoir fluid information associated with oil, wherein the GOR related information is determined based on a predetermined model; and performing operations for the oilfield based on the GOR related information.

Abstract: The invention relates to a method for performing operations of an oilfield having at least one wellsite, a surface network, and a process facility, each wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein.

Abstract: A method, system, and computer program product for performing oilfield surveillance operations. The oilfield has a subterranean formation with geological structures and reservoirs therein. The oilfield is divided into a plurality of patterns, with each pattern comprising a plurality of wells. Historical production/injection data is obtained for the plurality of wells. Two independent statistical treatments are performed to achieve a common objective of production optimization. In the first process, wells and/or patterns are characterized based on Heterogeneity Index results and personalities with the ultimate goal of field production optimization. In the second process, the history of the flood is divided into even time increments. At least two domains for each of the plurality of wells are determined. Each of the at least two domains are centered around each of the plurality wells. A first domain of the at least two domains has a first orientation.

Abstract: Methods and apparatus that use microseismic event data, stress data, seismic data, and rock properties to predict the hydrocarbon production success of a well location are disclosed. An example method generates a hydrocarbon production function based on information associated with at least a first well location, obtains information associated with a second well location, and calculates the hydrocarbon production function using the information associated with the second well location to predict the hydrocarbon production of the second well location.

Abstract: A method is described for determining an oilfield parameter for a drilling operation in an oilfield, the oilfield having a well site with a drilling tool advanced into a subterranean formation with geological structures and reservoirs therein. A first set of decision factors and a second set of decision factors about the drilling operation are identified. Each of the first set of decision factors is contained within a first set of nodes, and each of the second set of decision factors is contained within a second set of nodes. Both the first set of nodes and the second set of nodes contain a set of common nodes, which are common to both the first and second sets. The first set of nodes is associated to create a first belief network and the second set of nodes is associated to create a second belief network. Then, the set of common nodes of the first belief network is associated with the set of common nodes of the second belief network to form a multinet belief network.

Abstract: A method involves identifying work elements of a work process which may be enhanced to provide a biggest impact on enhancing an overall value of the work process. The method involves identifying a plurality of work elements comprising a work process, interviewing one or more knowledgeable interviewees and determining existing states and enhanced proposed states of the plurality of work elements, visually displaying the existing and enhanced proposed states of the work elements, and estimating and visually displaying a change in value of the work process due to an enhancement of the work elements from the existing states to the enhanced proposed states.

Abstract: A method and a system for accessing a target fluid in a formation of an oilfield are provided. The method involves acquiring physicochemical property information of a portion of the formation, determining a type and a concentration of a chemical agent based on the physicochemical property information of the portion of the formation, and applying the chemical agent at the portion of the formation to provide a chemical action, where the target fluid is released at the portion of the formation responding to the chemical action.

Abstract: Method and system are disclosed for determining hydrocarbon CDVs in a multiphase environment. The method and system involve calculating a total hydrocarbons volume from an apparent oil volume and an apparent gas volume. The apparent oil volume is determined using C/O data from a nuclear logging tool operating in inelastic neutron scattering mode. The apparent gas volume is determined using neutron porosity data from a nuclear logging tool operating in pulsed neutron capture (“PNC”) mode. It is also possible to determine the total hydrocarbons volume using log data from formation thermal neutron capture cross section measurements, or a cased hole formation resistivity tool. The total hydrocarbons volume is then used to back-calculate the total hydrocarbons CDV at various formation depths using the logged C/O data. The resulting independently calculated total hydrocarbon CDV may be used for proper matching of log data and simulation results for history matching purposes.

Abstract: Various technologies described herein involve apparatuses for actuating a downhole tool. In one implementation, the apparatus may include a pressure sensor for receiving one or more pressure pulses and an electronics module in communication with the pressure sensor. The electronics module may be configured to determine whether the pressure pulses are indicative of a command to actuate the downhole tool. The apparatus may further include a motor in communication with the electronics module. The motor may be configured to provide a rotational motion. The apparatus may further include a coupling mechanism coupled to the motor. The coupling mechanism may be configured to translate the rotational motion to a linear motion. The apparatus may further include a valve system coupled to the coupling mechanism. The valve system may be configured to actuate the downhole tool when the valve system is in an open phase.

Abstract: A downhole tool includes a device to be activated by electrical energy and a micro-switch that includes conductors and an element between the first and second conductors selected from the group consisting of: a dielectric element capable of being modulated to provide a conductive path in response to receipt of electrical energy; and an element moveable in response to application of an electrical energy. The micro-switch may be formed of microelectromechanical system (MEMS) technology or microelectronics technology.

Abstract: A method for pore pressure prediction. The method includes obtaining a stress sensitivity coefficient, obtaining a compressional wave (P-wave) velocity and a shear wave (S-wave) velocity for a pre-drill location and obtaining a first predicted pore pressure. Further, the method includes iteratively performing calculating a total stress value associated with the pre-drill location using the first predicted pore pressure associated with the pre-drill location, and calculating a second predicted pore pressure associated with the pre-drill location using a stress-pressure relationship equation, a stress-velocity relationship equation, the stress sensitivity coefficient, a reference location, and at least one selected from a group consisting of the P-wave velocity and the S-wave velocity for the pre-drill location, and adjusting a drilling operation associated with the pre-drill location, based on the second predicted pore pressure.