发明名称 Measurement and modeling of salinity contamination of soil and soil-water systems from oil and gas production activities
摘要 An analytical framework and modeling process for assessing salinity contamination of soil ecosystems in geographical areas related to oil and gas production sites combines detection and monitoring of unplanned saltwater releases from such production activities with soil impact prediction. The analytical framework and modeling process enables an assessment of risks associated with saltwater disposal from drilling operations to the surrounding environment and the impact on soils, aquifers, rangeland, cropland, and adjoining areas by monitoring water movement and other soil conditions, and generating predictive output data for landowners, farmers, oil and gas production site operators, governmental regulators, and other end users for contamination mitigation and agricultural activities.
申请公布号 US9579700(B2) 申请公布日期 2017.02.28
申请号 US201514725139 申请日期 2015.05.29
申请人 ITERIS, INC. 发明人 Osborne Leon F.
分类号 G06G7/58;B09C1/00 主分类号 G06G7/58
代理机构 Lazaris IP 代理人 Lazaris IP
主权项 1. A method comprising: ingesting, as input data, pipeline and drilling data, field-level remotely-sensed imagery data, remotely-sensed vegetation data, crop data, ground truth data representing in-situ measurement of vegetation and soil salinity, soils data, groundwater and watershed data, and meteorological data, for a geographical area comprising a soil system; modeling the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one specifically-configured processor, the data processing modules configured to assess vegetation salinity stress and analyze soil-water dynamics in the soil system, by categorizing the vegetation stress by generating a vegetative index from spectral characteristics of vegetation in the field-level remotely-sensed imagery data and the remotely-sensed vegetation data, and performing a cluster analysis of the spectral characteristics to identify one or more indicators of vegetation salinity stress in impacted vegetation,estimating a movement and dispersion of water and solute in the soil system, by 1) analyzing a soil-moisture balance for each point of water flow and salt flow in a root zone portion of the soil system from an evaluation of soil porosity, rooting depth, water supply surface rate, evaporation, evapotranspiration, runoff, and drainage, and 2) computing a time-varying matric potential and soil field capacity of the soil system from remnant soil moisture after losses due to evaporation, evapotranspiration, runoff, and drainage, andmeasuring a salinity concentration in the soil system by comparing the one or more indicators of vegetation salinity stress in impacted vegetation with the ground truth data representing in-situ measurement of vegetation and soil salinity for the geographical area comprising a soil system to confirm the vegetation salinity stress in the impacted vegetation, and estimating a water flow rate as a function of a potential energy gradient and a hydraulic conductivity; and generating, as output data, a salinity contamination profile representing a contamination impact assessment for the soil system.
地址 Santa Ana CA US