Side lobes of wavelets impact identification of thin sand bodies

Recently, we found that side lobes of wavelets have a large impact on the identification of thin sand reservoirs when studying some gas fields in a basin in Northwest China. Reflections from the top of the H Formation, in which there are gas-bearing thin sand bodies, have the main wavelet lobe between two weak peak side lobes. The lower one always mixes with another peak reflected from the top of a thin sand reservoir. That makes it difficult to identify the sand reservoir. In order to solve this, many forward models were set up using typical well logs. 2D synthetic profiles were produced using Ricker wavelets to study the relationships between the effects of wavelet side lobes and thin sand position and frequency and between amplitude and the thin sand body. We developed the following conclusions： First, it is easier to identify thin sands in a shallower position. Second, a good way to tell sand body reflections from side lobes is by comparing profiles with different frequency windows. Third, it is helpful and effective to describe sand extent using amplitude attributes.     

金矿床中毒砂标型特征及金的赋存状态——以湖南金矿床为例

湖南含砷金矿资源储量大,分布广,类型多.矿床中的砷矿物主要为毒砂,几乎所有金矿床中的毒砂都含Au（一般120×10^-6~250×10^-6）,且比共生的黄铁矿含Au量高2~5倍,甚至1个数量级以上.毒砂中金的分布率高达64.3%~94.05%.毒砂的生成期有早、晚2期.化学成分为富S亏As型,并以富含微量元素Sb（Se）、Ni、Co而贫Mn及晶胞参数a₀值增大等为标型特征.大多数含Au毒砂均含有相当数量的“不可见金”,即使利用电子探针也难以发现.初步认为毒砂中的“不可见金”多呈纳米级微细粒状存在.