氣測資料在油氣水層中識別與評價的方法研究
發(fā)布時間:2018-11-18 11:04
【摘要】:氣測錄井在石油天然氣地質(zhì)勘探中,是主要錄井技術手段。目前氣測資料主要包括:隨鉆資料、全脫資料及后效資料。但仍存在4項主要問題:檢測手段日益豐富與氣測資料應用相對單一的矛盾;鉆井工藝飛速發(fā)展與氣測資料應用水平相對滯后的矛盾;已有的氣測應用方法還需進一步完善;已有的氣測應用方法還需進一步完善。所以本文主要以油氣水層響應特征為基礎,依托鉆井液對氣測檢測影響因素校正,明確了氣測檢測影響的主要因素,創(chuàng)建了鉆井液含氣量的數(shù)學模型,求取及優(yōu)選了評價參數(shù),結(jié)合地化、測井資料,構(gòu)建了氣測資料的評價方法,探索了應用氣測資料進行產(chǎn)能預測的方法。經(jīng)過攻關形成了技術成果,主要包括以下幾個方面:1、依據(jù)隨鉆氣測資料和全脫氣分析資料,研究總結(jié)了油層、油氣水層、中淺層氣層和深層氣層的氣體組分響應特征及變化規(guī)律。2、全面總結(jié)了全烴曲線形態(tài),確定了不同異常形態(tài)厚度劃分方法。3、建立了以組分資料為主——3H法,結(jié)合全烴、鉆時等資料,識別落實油氣顯示的方法。4、通過模擬實驗,確定了氣測資料的主要影響因素,并建立了其校正方法,并首次把逸散氣檢測納入到實驗中。5、求取了氣測資料對油氣水層的評價參數(shù)并建立了以氣測資料為主,結(jié)合地化測井資料的評價方法。6、探索了應用氣測資料進行產(chǎn)能預測的方法。
[Abstract]:Gas logging is the main logging technique in petroleum and natural gas geological exploration. At present, the gas data mainly include: drilling data, complete stripping data and aftereffect data. However, there are still four main problems: the contradiction between the abundance of detection means and the relatively single application of gas logging data, the contradiction between the rapid development of drilling technology and the application level of gas logging data, the further improvement of the existing gas logging application methods, The existing gas measurement methods need to be further improved. So this paper is mainly based on the response characteristics of oil-gas and water layers, based on the correction of the influence factors of drilling fluid on gas logging detection, defines the main factors affecting gas testing, establishes the mathematical model of the gas content of drilling fluid, and obtains and optimizes the evaluation parameters. Combined with geochemistry and logging data, the evaluation method of gas logging data is constructed, and the method of productivity prediction based on gas logging data is explored. After tackling the key problems and forming technical achievements, mainly including the following aspects: 1. Based on the gas while drilling data and the analysis data of total degassing, the oil, gas and water layers are studied and summarized. The response characteristics and variation law of gas components in medium and shallow gas reservoirs and deep gas reservoirs. 2. The total hydrocarbon curve shape is summarized, and the thickness of different abnormal forms is determined. 3. The 3H method, which is mainly composed of component data, is established, and the total hydrocarbon is combined with the total hydrocarbon. 4. Through simulation experiments, the main influencing factors of gas logging data are determined, and its correction method is established, and the dissipative gas detection is included in the experiment for the first time. The evaluation parameters of gas logging data to oil, gas and water layers are obtained, and the evaluation method based on gas logging data and geochemical logging data is established. 6. The method of using gas logging data to predict productivity is explored.
【學位授予單位】:東北石油大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TE142
本文編號:2339860
[Abstract]:Gas logging is the main logging technique in petroleum and natural gas geological exploration. At present, the gas data mainly include: drilling data, complete stripping data and aftereffect data. However, there are still four main problems: the contradiction between the abundance of detection means and the relatively single application of gas logging data, the contradiction between the rapid development of drilling technology and the application level of gas logging data, the further improvement of the existing gas logging application methods, The existing gas measurement methods need to be further improved. So this paper is mainly based on the response characteristics of oil-gas and water layers, based on the correction of the influence factors of drilling fluid on gas logging detection, defines the main factors affecting gas testing, establishes the mathematical model of the gas content of drilling fluid, and obtains and optimizes the evaluation parameters. Combined with geochemistry and logging data, the evaluation method of gas logging data is constructed, and the method of productivity prediction based on gas logging data is explored. After tackling the key problems and forming technical achievements, mainly including the following aspects: 1. Based on the gas while drilling data and the analysis data of total degassing, the oil, gas and water layers are studied and summarized. The response characteristics and variation law of gas components in medium and shallow gas reservoirs and deep gas reservoirs. 2. The total hydrocarbon curve shape is summarized, and the thickness of different abnormal forms is determined. 3. The 3H method, which is mainly composed of component data, is established, and the total hydrocarbon is combined with the total hydrocarbon. 4. Through simulation experiments, the main influencing factors of gas logging data are determined, and its correction method is established, and the dissipative gas detection is included in the experiment for the first time. The evaluation parameters of gas logging data to oil, gas and water layers are obtained, and the evaluation method based on gas logging data and geochemical logging data is established. 6. The method of using gas logging data to predict productivity is explored.
【學位授予單位】:東北石油大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TE142
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,本文編號:2339860
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