简介：Inthispaper,thespatiallinearitymethodisappliedtosyntheticalprocessingofprecursorydatafromdifferentstationsanddifferentdisciplines.Thenewcharacteristicvalue(a)obtainedcandescribethewholeprecursoryfield.Theauthorspresenttheformulasforcalculatingspatiallinearity.Furthermore,thespatiallinearitymethodisappliedtoprocessingofgeoelectricalresistivityandgroundwaterleveldatafrom1970to1994inNorthChina.Theresultsshowthatthenewcharacteristicvalue(a)coulddetecttheanomaly1yearbeforemoderatelystrongearthquakes.

简介：Basedontheexistingcontinuousboreholestrainobservation,themultiquadricfunctionfittingmethodwasusedtodealwithtimeseriesdata.Theimpactofdifferencekernelfunctionparameterswasdiscussedtoobtainavaluablefittingresult,fromwhichthephysicalconnotationoftheoriginaldataanditspossibleapplicationswereanalyzed.Meanwhile,abriefcomparisonwasmadebetweentheresultsofmultiquadricfunctionfittingandpolynomialfitting.

简介：Anoveltechniqueforautomaticseismicdataprocessingusingbothintegralandlocalfeatureofseismogramswaspresentedinthispaper.Here,thetermintegralfeatureofseismogramsreferstofeaturewhichmaydepicttheshapeofthewholeseismograms.However,unlikesomepreviouseffortswhichcompletelyabandontheDIALapproach,i.e.,signaldetection,phaseidentification,association,andeventlocalization,andseektouseenvelopecross-correlationtodetectseismiceventsdirectly,ourtechniquekeepsfollowingtheDIALapproach,butinadditiontodetectsignalscorrespondingtoindividualseismicphases,italsodetectscontinuouswave-trainsandexplorestheirfeatureforphase-typeidentificationandsignalassociation.Moreconcreteideasabouthowtodefinewave-trainsandcombinethemwithvariousdetections,aswellashowtomeasureandutilizetheirfeatureintheseismicdataprocessingwereexpatiatedinthepaper.Thisapproachhasbeenappliedtotheroutinedataprocessingbyusforyears,andtestresultsfora16days’periodusingdatafromtheXinjiangseismicstationnetworkwerepresented.Theautomaticprocessingresultshavefairlylowfalseandmissedeventratesimultaneously,showingthatthenewtechniquehasgoodapplicationprospectsforimprovementoftheautomaticseismicdataprocessing.

简介：Organicreefs,thetargetsofdeep-waterpetroleumexploration,developedwidelyinXishaarea.However,thereareconcealedigneousrocksundersea,towhichorganicrockshavenearlyequalwaveimpedance.Sotheigneousrockshavebecomeinterferenceforfutureexplorationbyhavingsimilarseismicreflectioncharacteristics.Yet,thedensityandmagnetismoforganicreefsareverydifferentfromigneousrocks.Ithasobviousadvantagestoidentifyorganicreefsandigneousrocksbygravityandmagneticdata.Atfirst,frequencydecompositionwasappliedtothefree-airgravityanomalyinXishaareatoobtainthe2Dsubdivisionofthegravityanomalyandmagneticanomalyintheverticaldirection.Thus,thedistributionofigneousrocksinthehorizontaldirectioncanbeacquiredaccordingtohigh-frequencyfield,low-frequencyfield,anditsphysicalproperties.Then,3Dforwardmodelingofgravitationalfieldwascarriedouttoestablishthedensitymodelofthisareabyreferencetophysicalpropertiesofrocksbasedonformerresearches.Furthermore,3Dinversionofgravityanomalybygeneticalgorithmmethodofthegraphicprocessingunit(GPU)parallelprocessinginXishatargetareawasapplied,and3Ddensitystructureofthisareawasobtained.Bythisway,wecanconfinetheigneousrockstothecertaindepthaccordingtothedensityoftheigneousrocks.Thefrequencydecompositionand3DinversionofgravityanomalybygeneticalgorithmmethodoftheGPUparallelprocessingprovedtobeausefulmethodforrecognizingigneousrockstoits3Dgeologicalposition.Soorganicreefsandigneousrockscanbeidentified,whichprovideaprescientinformationforfurtherexploration.