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題 名 | 成份模式模擬評估A油氣田生產動態 |
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作 者 | 吳偉智; 曾繼忠; 陳大麟; | 書刊名 | 石油鑽採工程 |
卷 期 | 44 2003.12[民92.12] |
頁 次 | 頁62-72 |
分類號 | 457.2 |
關鍵詞 | 成份模式; 油層模擬; 歷史調諧; Compositional model; Reservoir simulation; History match; |
語 文 | 中文(Chinese) |
中文摘要 | A油田為一高壓層之揮發性油田,先後鑽探A1與A2兩口井,累計生產油13,857公秉以及氣1,003萬立方公尺,A1井已廢井,A2井目前亦已停產。為了解此油井再開發之可能性,採用成份模式進行生產動態模擬。 本研究首先分析A2井試油氣分析資料以確定平均滲透率及此油田內是否有封阻邊界之存在;此外亦以A1井之相態分析資料為基礎,利用Peng-Robinson狀態方程式進行擬合,以獲得最佳參數組合來描述地層流體物性。根據其頂部構造圖、等厚圖與孔隙率分佈圖等,再配合上述之油層特性描述,本研究利用SURE之成份模式(Compositional model)建立A油田之電腦模擬模式;然後輸入生產資料進行井底壓力與出水時間之歷史調諧,以瞭解其再開發之可行性。 模擬結果顯示:由原始資料所建立之模擬模式無法解釋A2井出水現象。為了改善調諧結果,本研究進行兩種嘗試:首先以不大幅影響原始埋藏量為原則,提高油水界面,並將水層之滲透率由10md增加至500md;第二個方法為局部修改孔隙率降低原始埋藏量,以加速地層水入侵速度,調整過程中部份孔隙率需設定為1%。經調整後,模擬結果與現場量測資料尚稱吻合,但由於只有兩個控制點,地質模式之不確定性甚高,使得模擬模式之代表性降低,因此在不確定性未降低前本研究將不進行進一步預測,以免產生誤導。但可以肯定的是,A油田原始原油埋藏量應比依體積法估算值為小。 |
英文摘要 | The A oil field is a volatile oil reservoir with abnormal pressure. The cumulative oil and gas produced are 13875 KL and 10,030 MScm. There are two wells, A1 and A2, had been drilled in this area. A1 well was abandoned and A2 is in the consideration of abandon. To evaluate this field, well testing analysis was first performed based on three peices of A2 well-test records. Average permeability and the existing of barrier near A2 or not were specified. Also, a history match of equation-of-stat (EOS) was made based on A1 PVT results. An EOS related data set was obtained for the description of physical properties of reservoir fluid. Based on the structure map, thickness map, and porosity map, a compositional simulation model was build since the field is a volatile oil reservoir. Botton hole pressure and water cut are the key factors for history match. Our results show the original setting cannot satisfy the water cut observed in A2. To improve the history match, two routs are proposed. First, the permeability was adjusted from 10 md to 500 md in the aquifer. Second, the porosity distribution was changed and lowest porosity is set to 1%. Both two ways show better match than original one. But the representative of model is not high since there are high uncertainties in geology model. Further prediction simulation did not performed before the uncertainties can be reduced. We can conclude that the OOIP in this area should be smaller than the estimation result by volumetric method. |
本系統中英文摘要資訊取自各篇刊載內容。