Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization

An attribute, subsurface technology, applied in the field of active noise injection calculation to improve the predictability of oil and gas field discovery and characterization, can solve the problems of expensive exploratory wells and no production

Inactive Publication Date: 2013-01-23
VIALOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, exploratory wells can be very expensive, especially those offshore, and there is a risk that such wells may not produce

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  • Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization
  • Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization
  • Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization

Examples

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Embodiment Construction

[0039] figure 1 An example process 100 for reservoir characterization (also referred to as lateral subsurface prediction of a reservoir) is shown. In some examples, process 100 may be used to construct a computer model of a reservoir beneath the earth's surface that includes all of the characteristics of the reservoir that are related to its ability to store hydrocarbons and also to produce hydrocarbons. The process 100 may be used to discover, characterize, and size hydrocarbon (oil and gas) reservoirs to use seismic data to generate drilling patterns for wells onshore or offshore. At 110, deposit data and exploration criteria are obtained. Exploration criteria may include aligned exploration targets, such as criteria to search for one or more formations in a deposit (location being analyzed for deposits). Deposits are defined as areas covering potential subsurface traps believed to contain hydrocarbons. The geological factors necessary for the production of oil and gas fr...

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Abstract

Application of nonlinear resonance interferometry is introduced as a new geophysical approach to improve predictability in characterization of subsurface porosity, rock and fluid properties. In contrast to reflection methods that remove random information noise, nonlinear resonance interferometry exploits the full seismic acquisition spectrum to assess how low frequency and high-frequency noise is differentially and directly modulated by varying levels of porosity and hydrocarbon content in the lithologies of interest. In some examples, systems and techniques implement novel computational interactions between acquired seismic wavefield attributes and a nonlinear system in software to amplify distortions in seismic noise and exploits injection of synthetic noise, in software format, to detect hydrocarbon traps and lithology changes at spatial scales below seismic resolution, thereby increasing the information value of low-resolution data. The techniques are broadly applicable to de-risking conventional clastic and carbonate reservoirs and non-conventional shale gas resource prospects.

Description

[0001] This application claims the benefit of US Provisional Application 61 / 311,277, entitled "Active Noise Injection Computations For Improved Predictability In Reservoir Characterization," filed March 5, 2010, which is incorporated herein by reference in its entirety. Background technique [0002] During oil and gas exploration, seismic surveys are used to estimate features of interest in subsurface landforms. Seismic surveys use controlled seismic energy, such as that produced by specialized air guns or seismic vibrators. The receivers detect seismic energy, usually in the form of waves, reflected by subsurface features. These subsurface features are detected by analyzing the time it takes for reflected seismic waves to travel through subsurface material of varying densities. Three-dimensional seismic mapping also uses seismic energy to produce three-dimensional maps of subsurface cambiums. Traditional techniques for analyzing seismic data attempt to filter out noise to i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
CPCG01V1/306
Inventor S・古拉蒂
Owner VIALOGY
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