Patent classifications
E21B49/00
Directional well trajectory control method based on drill pipe drive
Disclosed is a directional well trajectory control method based on drill pipe drive, the method including the following steps: parameters down-transmission, determining the offset vector, closed loop control of eccentric ring rotation angle, and well parameter closed-loop control; this method can achieve three-dimensional well trajectory control without frequent trips during drilling operations, and has a high penetration rate, good wellbore cleaning effect, well trajectory control accuracy, high flexibility, low tripping times, high borehole quality, high safety, etc., which is suitable for the development of special process wells such as medium-deep wells, ultra-deep wells, ultra-thin oil layer horizontal wells and unconventional oil and gas wells in China's complex oil and gas reservoirs. This method can also achieve precise control of well trajectory, and overcome the shortcomings of existing control methods that cannot achieve closed-loop control and cannot remove interference signals.
Method and apparatus for determining integrated exploitation approach of shale and adjacent oil reservoirs
The invention provides a method and an apparatus for determining an integrated exploitation approach for a shale and adjacent oil reservoirs. The method includes: determining a thickness of an effective shale, a top effective boundary and a bottom effective boundary of adjacent effective oil reservoirs; determining a maximum seepage radius of each of the adjacent effective oil reservoirs to the effective shale; determining a well pattern; determining a well completion approach; and determining a total number of perforation clusters of gas injection wells, a number of perforation clusters corresponding to each of the adjacent effective oil reservoirs, a gas injection amount per unit time of each of the perforation clusters, and a total gas injection amount per unit time of the gas injection wells. The effective shale is in communication with all the adjacent effective oil reservoirs by boring-through of a fluctuating horizontal well or a vertical well.
Method and apparatus for determining integrated exploitation approach of shale and adjacent oil reservoirs
The invention provides a method and an apparatus for determining an integrated exploitation approach for a shale and adjacent oil reservoirs. The method includes: determining a thickness of an effective shale, a top effective boundary and a bottom effective boundary of adjacent effective oil reservoirs; determining a maximum seepage radius of each of the adjacent effective oil reservoirs to the effective shale; determining a well pattern; determining a well completion approach; and determining a total number of perforation clusters of gas injection wells, a number of perforation clusters corresponding to each of the adjacent effective oil reservoirs, a gas injection amount per unit time of each of the perforation clusters, and a total gas injection amount per unit time of the gas injection wells. The effective shale is in communication with all the adjacent effective oil reservoirs by boring-through of a fluctuating horizontal well or a vertical well.
Identifying hydrocarbon reserves of a subterranean region using a reservoir earth model that models characteristics of the region
Methods and systems, including computer programs encoded on a computer storage medium can be used for an integrated methodology that can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.
Identifying hydrocarbon reserves of a subterranean region using a reservoir earth model that models characteristics of the region
Methods and systems, including computer programs encoded on a computer storage medium can be used for an integrated methodology that can be used by a computing system to automate processes for generating, and updating (e.g., in real-time), subsurface reservoir models. The methodology and automated approaches employ technologies relating to machine learning and artificial intelligence (AI) to process seismic data and information relating to seismic facies.
Formation evaluation based on pulse power electrode discharge measurements
A first characteristic of a first discharge of electrodes of a pulse power drilling assembly in a borehole of a subterranean formation is determined. The first characteristic is based on a measurement of the first discharge. A second characteristic of a second discharge of the electrodes is determined. The second discharge occurs after the first discharge, and the second characteristic is based on a measurement of the second discharge. A difference between the first characteristic and the second characteristic is determined. A boundary layer of the subterranean formation is determined based on the difference.
Systems and methods for estimating pore pressure at source rocks
Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio R.sub.o data, and (iv) update the estimated pore pressure in real-time based on the correction factor.
Systems and methods for estimating pore pressure at source rocks
Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio R.sub.o data, and (iv) update the estimated pore pressure in real-time based on the correction factor.
Polymer nano-clays as multifunctional mud logging barcode tracers
A method includes introducing into a drilling fluid a plurality of tags having a first clay nanoparticle and a first polymer embedded into the clay nanoparticle and circulating the drilling fluid and tags through a well during a drilling operation that creates formation cuttings such that the tags interact with the formation cuttings, creating tagged cuttings. The returned cuttings are collected from the circulating drilling fluid at a surface of the well, and the tags on the returned cuttings are detected to identify the tagged cuttings. The method also includes correlating the tagged cuttings with a drill depth in the well from the drilling operation.
PH monitoring in porous media during waterflooding experiments
Provided is a coreflood system that comprises a housing including an inlet end and an outlet end, an inlet positioned at the inlet end, and an outlet positioned at the outlet end. The system includes two chambers positioned within the housing between the inlet and the outlet, configured to retain porous media. The two chambers are in series along a fluid flow pathway through the coreflood system. The system includes a partition extending from an inner surface of the housing between the inlet and the outlet, and a pH sensor provide in a sensor mounting location in the housing having access to the fluid flow pathway. Further provided is a method that comprises directing a fluid into a coreflood system, and using a data processing device coupled to the pH sensor to collect hydrogen ion data and determine hydrogen ion concentration and pH within the fluid.