岩性油气藏
巖性油氣藏
암성유기장
LITHOLOGIC RESERVOIRS
2011年
6期
106-110
,共5页
付勋勋%徐峰%秦启荣%刘福烈%姜自然
付勛勛%徐峰%秦啟榮%劉福烈%薑自然
부훈훈%서봉%진계영%류복렬%강자연
能量衰减梯度%时频分析%伪Margenau-Hill分布%储层预测
能量衰減梯度%時頻分析%偽Margenau-Hill分佈%儲層預測
능량쇠감제도%시빈분석%위Margenau-Hill분포%저층예측
energy attenuation gradient%time-frequency analysis%Pseudo-Margenau-Hill distribution%reservoir prediction
地震波在聚集了石油、天然气的储层中传播时存在能量的剧烈衰减,且频率越高能量衰减越快,所以通过地震波高频端能量衰减梯度可以灵敏地检测地层中是否存在烃类流体。通过传统的傅里叶变换求取地震波能量衰减梯度面临诸多问题,而伪Margenau-Hill(PMH)分布作为科恩类时频分布的一种则具有许多优良的特性:真边缘性、弱支撑性、好的时频聚集性等。为此,该文将PMH分布的时频分析方法引入到了地震波吸收衰减分析技术中,利用地震波高频端能量与其对应频率的拟线性关系来计算各时刻的地震波能量衰减梯度。实际资料应用表明,利用PMH分布来求取地震波能量衰减梯度在储层预测中具有重要意义。
地震波在聚集瞭石油、天然氣的儲層中傳播時存在能量的劇烈衰減,且頻率越高能量衰減越快,所以通過地震波高頻耑能量衰減梯度可以靈敏地檢測地層中是否存在烴類流體。通過傳統的傅裏葉變換求取地震波能量衰減梯度麵臨諸多問題,而偽Margenau-Hill(PMH)分佈作為科恩類時頻分佈的一種則具有許多優良的特性:真邊緣性、弱支撐性、好的時頻聚集性等。為此,該文將PMH分佈的時頻分析方法引入到瞭地震波吸收衰減分析技術中,利用地震波高頻耑能量與其對應頻率的擬線性關繫來計算各時刻的地震波能量衰減梯度。實際資料應用錶明,利用PMH分佈來求取地震波能量衰減梯度在儲層預測中具有重要意義。
지진파재취집료석유、천연기적저층중전파시존재능량적극렬쇠감,차빈솔월고능량쇠감월쾌,소이통과지진파고빈단능량쇠감제도가이령민지검측지층중시부존재경류류체。통과전통적부리협변환구취지진파능량쇠감제도면림제다문제,이위Margenau-Hill(PMH)분포작위과은류시빈분포적일충칙구유허다우량적특성:진변연성、약지탱성、호적시빈취집성등。위차,해문장PMH분포적시빈분석방법인입도료지진파흡수쇠감분석기술중,이용지진파고빈단능량여기대응빈솔적의선성관계래계산각시각적지진파능량쇠감제도。실제자료응용표명,이용PMH분포래구취지진파능량쇠감제도재저층예측중구유중요의의。
It is stated that the propagation of seismic wave in oil gas reservoirs is accompanied by intense energy attenuation, and the frequency component is higher, the energy will be absorbed more. Thus energy attenuation gradient can be used to detect hydrocarbon sensitively. Conventional Fourier transform suffers from time-frequency resolution problems, while Pseudo-Margenau-Hill distribution has many favorable properties, such as time-frequency marginal distribution, "weak" finite support, time-frequency location, which is one of Cohen class time-frequency distribution. The time-frequency analysis based on Pseudo-Margenau-Hill distribution is presented for energy attenuation gradient estimation, and the log of energy and frequency of higher band is used to calculate the energy attenuation gradient. The practical application shows the effectiveness of the method in hydrocarbon reservoir prediction.