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薩中開發(fā)區(qū)特高含水期開發(fā)指標(biāo)變化規(guī)律及影響因素研究

發(fā)布時(shí)間:2019-06-14 04:19
【摘要】:薩中開發(fā)區(qū)處于特高含水產(chǎn)量遞減階段,存在剩余油挖潛難度大、儲(chǔ)采平衡矛盾加劇、耗水量大、液油比高、無效注采循環(huán)嚴(yán)重等問題。因此對(duì)油田進(jìn)行綜合技術(shù)調(diào)整和開發(fā)效果評(píng)價(jià)顯得尤為重要。本文對(duì)薩中開發(fā)區(qū)各井網(wǎng)含水上升規(guī)律進(jìn)行研究:首先由水驅(qū)規(guī)律的理論基礎(chǔ)入手,從特高含水期油水相滲比變化規(guī)律與理論假定的差異出發(fā)分析水驅(qū)規(guī)律曲線上翹原因,并總結(jié)上翹時(shí)機(jī)的影響因素。進(jìn)一步分井網(wǎng)優(yōu)選含水變化規(guī)律,分析總結(jié)影響含水變化的主要因素。對(duì)薩中開發(fā)區(qū)產(chǎn)量遞減規(guī)律進(jìn)行研究,對(duì)比常用方法優(yōu)選出適合各套井網(wǎng)的遞減規(guī)律,并分析產(chǎn)量遞減率的影響因素;對(duì)于未發(fā)生遞減井網(wǎng),采用翁氏模型進(jìn)行擬合,得出適用的預(yù)測(cè)模型。為了克服水驅(qū)特征曲線方法和產(chǎn)量遞減方法在進(jìn)行開發(fā)指標(biāo)預(yù)測(cè)時(shí)的局限性,將二者進(jìn)行聯(lián)解可以更好地進(jìn)行開發(fā)指標(biāo)預(yù)測(cè):通過理論推導(dǎo)得到不同水驅(qū)特征模型和產(chǎn)量遞減模型的聯(lián)解公式;對(duì)比優(yōu)選出適用于各套井網(wǎng)的水驅(qū)規(guī)律曲線和產(chǎn)量遞減模型,代入聯(lián)解模型進(jìn)行分井網(wǎng)開發(fā)指標(biāo)預(yù)測(cè);對(duì)于未發(fā)生遞減井網(wǎng)則采用廣義翁氏模型與水驅(qū)特征曲線聯(lián)解模型進(jìn)行預(yù)測(cè)。對(duì)比各套井網(wǎng)各種預(yù)測(cè)模型的擬合精度發(fā)現(xiàn),運(yùn)用聯(lián)解模型的擬合精度都要好于單一模型,對(duì)于各套井網(wǎng)聯(lián)解模型的適用性更好,因此采用聯(lián)解模型對(duì)各套井網(wǎng)進(jìn)行開發(fā)指標(biāo)預(yù)測(cè)效果更準(zhǔn)確。鑒于各井網(wǎng)地下注采關(guān)系復(fù)雜,致使各井網(wǎng)地質(zhì)儲(chǔ)量難以進(jìn)行劈分的特殊情況,我們利用動(dòng)態(tài)跟蹤預(yù)測(cè)法測(cè)算各井網(wǎng)可采儲(chǔ)量,并引入視含水上升率和可采儲(chǔ)量采油速度進(jìn)行指標(biāo)預(yù)測(cè)。由油田開發(fā)實(shí)際知道,井網(wǎng)投產(chǎn)后采取常規(guī)措施對(duì)增加可采儲(chǔ)量作用有限,可以認(rèn)為各井網(wǎng)的可采儲(chǔ)量近似保持穩(wěn)定,因此利用基于可采儲(chǔ)量采出程度的各種關(guān)系曲線進(jìn)行開發(fā)指標(biāo)預(yù)測(cè)是可行的。
[Abstract]:Sazhong Development Zone is in the stage of decline of ultra-high water cut production, which has some problems, such as difficult to tap the potential of remaining oil, aggravated contradiction of storage and production balance, large water consumption, high ratio of liquid to oil, and serious invalid injection-production cycle. Therefore, it is particularly important to adjust the comprehensive technology and evaluate the development effect of the oil field. In this paper, the law of water cut rise in each well pattern in Sazhong Development Zone is studied: firstly, starting from the theoretical basis of water drive law, starting from the difference between the change law of oil-water phase permeability ratio and theoretical assumption in ultra-high water cut stage, this paper analyzes the reasons for the upturn of water drive law curve, and sums up the influencing factors of the rising time. Further, the variation law of water cut is optimized, and the main factors affecting the change of water cut are analyzed and summarized. The law of production decline in Sazhong Development Zone is studied, the decline law suitable for each set of well patterns is optimized by comparing the common methods, and the influencing factors of production decline rate are analyzed. For the non-decline well pattern, Weng's model is used to fit, and the suitable prediction model is obtained. In order to overcome the limitations of water drive characteristic curve method and production decline method in the prediction of development index, the combined solution of the two methods can be used to predict the development index better: through theoretical derivation, the joint solution formulas of different water drive characteristic models and production decline models are obtained, and the water drive law curve and production decline model suitable for each set of well patterns are compared and selected, and the development index prediction of well pattern is carried out instead of the combined solution model. For the non-decline well pattern, the generalized Weng's model and the water drive characteristic curve joint solution model are used to predict the well pattern. Compared with the fitting accuracy of various prediction models of each well pattern, it is found that the fitting accuracy of the combined solution model is better than that of the single model, and the applicability of the combined solution model is better than that of the single model, so it is more accurate to use the joint solution model to predict the development index of each well pattern. In view of the complex relationship between underground injection and production of each well pattern, which makes it difficult to split the geological reserves of each well pattern, we use the dynamic tracking prediction method to calculate the recoverable reserves of each well pattern, and introduce the index prediction based on the rising rate of water cut and the recovery rate of recoverable reserves. It is known from the practice of oil field development that the effect of conventional measures on increasing recoverable reserves is limited after the well pattern is put into operation, and it can be considered that the recoverable reserves of each well pattern remain approximately stable, so it is feasible to predict the development index by using various relational curves based on the recovery degree of recoverable reserves.
【學(xué)位授予單位】:東北石油大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TE357.6

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