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研究生:蔡孟原
研究生(外文):Tasi, Meng-Yuan
論文名稱:機率性體積法估算油氣礦區蘊藏量之研究
論文名稱(外文):The Probabilistic Reserves Estimation of Petroleum Reservoir by Volumetric Method
指導教授:林再興林再興引用關係
指導教授(外文):Zsay-Shing Lin
學位類別:碩士
校院名稱:國立成功大學
系所名稱:資源工程學系
學門:工程學門
學類:材料工程學類
論文種類:學術論文
論文出版年:1997
畢業學年度:85
語文別:中文
論文頁數:156
中文關鍵詞:蘊藏量體積法
外文關鍵詞:ReservesVolumetric Method
相關次數:
  • 被引用被引用:2
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石油(含天然氣)是目前世界上最重要的能源之一﹐在各國的石油礦區之探
勘與開發過程中,對於礦區油氣蘊藏的估計是一項很重要的工作本研究的
主要目的是利用機率的觀念來處理估計蘊藏量參數的不確定性,利用所有
可能蒐集得到的地層參數資料(其中包括井下電測資料)加以統計整理後,
給予每個地層參數最適當的機率分佈類型及數值範圍,再以體積法模式結
合蒙地卡羅模擬法,產生包含機率性考量的蘊藏量。本研究利用機率性體
積法估計台灣X氣田的蘊藏量,(X氣田被斷層的影響分隔成X1、X2及X3個
地塊)。本研究分別對三個地塊做機率性蘊藏量的估計得到X氣田蘊藏量結
果,其中證實蘊藏量為152.51BCF,可信蘊藏量(含證實蘊藏量)為207.09
BCF,可能蘊藏量(含可信蘊藏量)為278.54BCF;最可能的蘊藏量為195BCF
。另外,X1地塊最敏感的參數是孔隙率﹐X2地塊是地層淨厚度﹐X3地塊是
含水飽和度。敏感度高的參數對計算蘊藏量的影響也是高的。另一個個案
為美國B.A.油田﹐其證實蘊藏量為502.28MMbbl,可信的蘊藏量(含證實蘊
藏量)為587.14MMbbl,可能的蘊藏量(含可信蘊藏量)為698.91MMbbl,最
可能的蘊藏量值為560 MMbbl﹐最敏感的參數是孔隙率。

Petroleum is one of the major energy resources in the world.
Reserves estimation is an important work during exploration or
development of an oil/gas field. The purpose of this study is
to estimate reserves by probabilistic concept, taking the
uncertainties of each parameter into consideration. It is called
probabilistic volumetric method. In the process of reserves
estimation, a probability distribution with the ranges of every
parameter is collected or given. And then, Monte Carlo
Simulation is run to generate a probability distribution of
reserves. This study uses the probabilistic volumetric method
to evaluate the reserves of X-gas filed (in Taiwan area) which
structurally divided into three blocks(namely, x1, x2 and x3) by
faults. The reserves for these three blocks are estimated
separately and then added these reserves together. The results
of reserves estimation are: proved reserves is 152 BCF; probable
reserves(including proved reserves) is 207 BCF; and possible
reserves(including probable reserves) is 278 BCF; and the most
likely value of the reserve of this field is 195 BCF. The
sensitivity analyses are also conducted. The most sensitive
parameters for x1, x2, and x3 blocks are porosity, net pay, and
water saturation, respectively. The estimated reserves are
affected mostly by the most sensitive parameter. The other
case study is the BA oil field in the United States. The
estimated proved reserve is 502 MMbbl; probable reserves(
including proved reserves) is 587 MMbbl; possible reserves(
including probable reserves) is 698 MMbbl; and the most likely
value of the reserve of this field is 555 MMbbl. The most
sensitive parameter in this case study is porosity.

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